Memory usage before loading model = 102139008 Stage2Solver_4 is now getting to Work received node: gen cut: Rental Cost 0 scenario cost: 113917.44631833661696873605251312255859375 Optimization Status: 2 scenario cost: 113917.44631833661696873605251312255859375 optimization time for scenario: 80 = 0.05092906951904296875 scenario cost: 179223.6091129556880332529544830322265625 Optimization Status: 2 scenario cost: 179223.6091129556880332529544830322265625 optimization time for scenario: 81 = 0.043201923370361328125 scenario cost: 117731.9183032796136103570461273193359375 Optimization Status: 2 scenario cost: 117731.9183032796136103570461273193359375 optimization time for scenario: 82 = 0.0421140193939208984375 scenario cost: 141177.2432203419157303869724273681640625 Optimization Status: 2 scenario cost: 141177.2432203419157303869724273681640625 optimization time for scenario: 83 = 0.045712947845458984375 scenario cost: 111750.836976592079736292362213134765625 Optimization Status: 2 scenario cost: 111750.836976592079736292362213134765625 optimization time for scenario: 84 = 0.04912090301513671875 scenario cost: 124878.856454353386652655899524688720703125 Optimization Status: 2 scenario cost: 124878.856454353386652655899524688720703125 optimization time for scenario: 85 = 0.048634052276611328125 scenario cost: 130149.53074415586888790130615234375 Optimization Status: 2 scenario cost: 130149.53074415586888790130615234375 optimization time for scenario: 86 = 0.03577709197998046875 scenario cost: 113522.060861223042593337595462799072265625 Optimization Status: 2 scenario cost: 113522.060861223042593337595462799072265625 optimization time for scenario: 87 = 0.048699855804443359375 scenario cost: 113402.189694570333813317120075225830078125 Optimization Status: 2 scenario cost: 113402.189694570333813317120075225830078125 optimization time for scenario: 88 = 0.0369701385498046875 scenario cost: 111405.230080165507388301193714141845703125 Optimization Status: 2 scenario cost: 111405.230080165507388301193714141845703125 optimization time for scenario: 89 = 0.0411550998687744140625 scenario cost: 120140.717599708979832939803600311279296875 Optimization Status: 2 scenario cost: 120140.717599708979832939803600311279296875 optimization time for scenario: 90 = 0.0227069854736328125 scenario cost: 120272.172774291320820339024066925048828125 Optimization Status: 2 scenario cost: 120272.172774291320820339024066925048828125 optimization time for scenario: 91 = 0.01994609832763671875 scenario cost: 149062.0826925612054765224456787109375 Optimization Status: 2 scenario cost: 149062.0826925612054765224456787109375 optimization time for scenario: 92 = 0.023994922637939453125 scenario cost: 169041.7944343839189969003200531005859375 Optimization Status: 2 scenario cost: 169041.7944343839189969003200531005859375 optimization time for scenario: 93 = 0.0264070034027099609375 scenario cost: 129978.627521799338865093886852264404296875 Optimization Status: 2 scenario cost: 129978.627521799338865093886852264404296875 optimization time for scenario: 94 = 0.0307500362396240234375 scenario cost: 120845.555584202855243347585201263427734375 Optimization Status: 2 scenario cost: 120845.555584202855243347585201263427734375 optimization time for scenario: 95 = 0.0214159488677978515625 scenario cost: 117345.1237493326771073043346405029296875 Optimization Status: 2 scenario cost: 117345.1237493326771073043346405029296875 optimization time for scenario: 96 = 0.0200579166412353515625 scenario cost: 152861.10832885585841722786426544189453125 Optimization Status: 2 scenario cost: 152861.10832885585841722786426544189453125 optimization time for scenario: 97 = 0.0205609798431396484375 scenario cost: 140878.841865068185143172740936279296875 Optimization Status: 2 scenario cost: 140878.841865068185143172740936279296875 optimization time for scenario: 98 = 0.0219180583953857421875 scenario cost: 164429.08599735764437355101108551025390625 Optimization Status: 2 scenario cost: 164429.08599735764437355101108551025390625 optimization time for scenario: 99 = 0.0190069675445556640625 Sending cuts of back to the stg 1 solver Objective Value 22016.6955354783931397832930088043212890625 memory usage: 112188792 received node: gen cut: Rental Cost 0 scenario cost: 112461.926130775900674052536487579345703125 Optimization Status: 2 scenario cost: 112461.926130775900674052536487579345703125 optimization time for scenario: 40 = 0.04722690582275390625 scenario cost: 142662.07905343105085194110870361328125 Optimization Status: 2 scenario cost: 142662.07905343105085194110870361328125 optimization time for scenario: 41 = 0.03433895111083984375 scenario cost: 113835.0788548911805264651775360107421875 Optimization Status: 2 scenario cost: 113835.0788548911805264651775360107421875 optimization time for scenario: 42 = 0.024343967437744140625 scenario cost: 111821.709726587214390747249126434326171875 Optimization Status: 2 scenario cost: 111821.709726587214390747249126434326171875 optimization time for scenario: 43 = 0.02190113067626953125 scenario cost: 162384.5854913495131768286228179931640625 Optimization Status: 2 scenario cost: 162384.5854913495131768286228179931640625 optimization time for scenario: 44 = 0.0216820240020751953125 scenario cost: 111232.888837651276844553649425506591796875 Optimization Status: 2 scenario cost: 111232.888837651276844553649425506591796875 optimization time for scenario: 45 = 0.021603107452392578125 scenario cost: 115102.3554199194186367094516754150390625 Optimization Status: 2 scenario cost: 115102.3554199194186367094516754150390625 optimization time for scenario: 46 = 0.0214130878448486328125 scenario cost: 142429.79876401842921040952205657958984375 Optimization Status: 2 scenario cost: 142429.79876401842921040952205657958984375 optimization time for scenario: 47 = 0.0210521221160888671875 scenario cost: 120181.062077709750155918300151824951171875 Optimization Status: 2 scenario cost: 120181.062077709750155918300151824951171875 optimization time for scenario: 48 = 0.022780895233154296875 scenario cost: 115872.02084466945962049067020416259765625 Optimization Status: 2 scenario cost: 115872.02084466945962049067020416259765625 optimization time for scenario: 49 = 0.0231130123138427734375 scenario cost: 98964.81369524230831302702426910400390625 Optimization Status: 2 scenario cost: 98964.81369524230831302702426910400390625 optimization time for scenario: 50 = 0.021564006805419921875 scenario cost: 181495.9054650735924951732158660888671875 Optimization Status: 2 scenario cost: 181495.9054650735924951732158660888671875 optimization time for scenario: 51 = 0.021914958953857421875 scenario cost: 108040.80407868474139831960201263427734375 Optimization Status: 2 scenario cost: 108040.80407868474139831960201263427734375 optimization time for scenario: 52 = 0.0222771167755126953125 scenario cost: 104125.5183633980923332273960113525390625 Optimization Status: 2 scenario cost: 104125.5183633980923332273960113525390625 optimization time for scenario: 53 = 0.020676136016845703125 scenario cost: 99478.73458247308735735714435577392578125 Optimization Status: 2 scenario cost: 99478.73458247308735735714435577392578125 optimization time for scenario: 54 = 0.0206470489501953125 scenario cost: 114136.0612872589263133704662322998046875 Optimization Status: 2 scenario cost: 114136.0612872589263133704662322998046875 optimization time for scenario: 55 = 0.038257122039794921875 scenario cost: 113806.656634808503440581262111663818359375 Optimization Status: 2 scenario cost: 113806.656634808503440581262111663818359375 optimization time for scenario: 56 = 0.034069061279296875 scenario cost: 117089.717656789885950274765491485595703125 Optimization Status: 2 scenario cost: 117089.717656789885950274765491485595703125 optimization time for scenario: 57 = 0.0458309650421142578125 scenario cost: 118394.121180070258560590445995330810546875 Optimization Status: 2 scenario cost: 118394.121180070258560590445995330810546875 optimization time for scenario: 58 = 0.06293201446533203125 scenario cost: 127222.119506257513421587646007537841796875 Optimization Status: 2 scenario cost: 127222.119506257513421587646007537841796875 optimization time for scenario: 59 = 0.04635715484619140625 Sending cuts of back to the stg 1 solver Objective Value 20256.068622493578004650771617889404296875 memory usage: 112190312 received node: gen cut: Rental Cost 0 scenario cost: 102178.52336955259670503437519073486328125 Optimization Status: 2 scenario cost: 102178.52336955259670503437519073486328125 optimization time for scenario: 80 = 0.053017139434814453125 scenario cost: 120820.751405405710102058947086334228515625 Optimization Status: 2 scenario cost: 120820.751405405710102058947086334228515625 optimization time for scenario: 81 = 0.048366069793701171875 scenario cost: 99947.05734744519577361643314361572265625 Optimization Status: 2 scenario cost: 99947.05734744519577361643314361572265625 optimization time for scenario: 82 = 0.049439907073974609375 scenario cost: 113932.563398654965567402541637420654296875 Optimization Status: 2 scenario cost: 113932.563398654965567402541637420654296875 optimization time for scenario: 83 = 0.0627701282501220703125 scenario cost: 101363.236311708795255981385707855224609375 Optimization Status: 2 scenario cost: 101363.236311708795255981385707855224609375 optimization time for scenario: 84 = 0.0500938892364501953125 scenario cost: 111908.90224052252597175538539886474609375 Optimization Status: 2 scenario cost: 111908.90224052252597175538539886474609375 optimization time for scenario: 85 = 0.048287868499755859375 scenario cost: 116576.429415194652392528951168060302734375 Optimization Status: 2 scenario cost: 116576.429415194652392528951168060302734375 optimization time for scenario: 86 = 0.0546100139617919921875 scenario cost: 100988.7195329254609532654285430908203125 Optimization Status: 2 scenario cost: 100988.7195329254609532654285430908203125 optimization time for scenario: 87 = 0.0483210086822509765625 scenario cost: 99358.5060462152468971908092498779296875 Optimization Status: 2 scenario cost: 99358.5060462152468971908092498779296875 optimization time for scenario: 88 = 0.0366599559783935546875 scenario cost: 98870.68736838162294588983058929443359375 Optimization Status: 2 scenario cost: 98870.68736838162294588983058929443359375 optimization time for scenario: 89 = 0.0247209072113037109375 scenario cost: 108969.082274199463427066802978515625 Optimization Status: 2 scenario cost: 108969.082274199463427066802978515625 optimization time for scenario: 90 = 0.02418994903564453125 scenario cost: 106691.60507011841400526463985443115234375 Optimization Status: 2 scenario cost: 106691.60507011841400526463985443115234375 optimization time for scenario: 91 = 0.0251080989837646484375 scenario cost: 107964.29989704978652298450469970703125 Optimization Status: 2 scenario cost: 107964.29989704978652298450469970703125 optimization time for scenario: 92 = 0.0240390300750732421875 scenario cost: 122066.36590619650087319314479827880859375 Optimization Status: 2 scenario cost: 122066.36590619650087319314479827880859375 optimization time for scenario: 93 = 0.02505588531494140625 scenario cost: 110648.453319563370314426720142364501953125 Optimization Status: 2 scenario cost: 110648.453319563370314426720142364501953125 optimization time for scenario: 94 = 0.024818897247314453125 scenario cost: 109544.44070580272818915545940399169921875 Optimization Status: 2 scenario cost: 109544.44070580272818915545940399169921875 optimization time for scenario: 95 = 0.024959087371826171875 scenario cost: 102957.808451088654692284762859344482421875 Optimization Status: 2 scenario cost: 102957.808451088654692284762859344482421875 optimization time for scenario: 96 = 0.024422168731689453125 scenario cost: 108671.08330382197163999080657958984375 Optimization Status: 2 scenario cost: 108671.08330382197163999080657958984375 optimization time for scenario: 97 = 0.0249779224395751953125 scenario cost: 112751.549813699792139232158660888671875 Optimization Status: 2 scenario cost: 112751.549813699792139232158660888671875 optimization time for scenario: 98 = 0.0245239734649658203125 scenario cost: 114340.98590706175309605896472930908203125 Optimization Status: 2 scenario cost: 114340.98590706175309605896472930908203125 optimization time for scenario: 99 = 0.02397918701171875 Sending cuts of back to the stg 1 solver Objective Value 18087.853074003374786116182804107666015625 memory usage: 112191832 received node: gen cut: Rental Cost 0 scenario cost: 100254.6399873684276826679706573486328125 Optimization Status: 2 scenario cost: 100254.6399873684276826679706573486328125 optimization time for scenario: 80 = 0.0509250164031982421875 scenario cost: 118709.069694232617621310055255889892578125 Optimization Status: 2 scenario cost: 118709.069694232617621310055255889892578125 optimization time for scenario: 81 = 0.045813083648681640625 scenario cost: 96681.57421147907734848558902740478515625 Optimization Status: 2 scenario cost: 96681.57421147907734848558902740478515625 optimization time for scenario: 82 = 0.0552959442138671875 scenario cost: 109656.762452496797777712345123291015625 Optimization Status: 2 scenario cost: 109656.762452496797777712345123291015625 optimization time for scenario: 83 = 0.054653167724609375 scenario cost: 100078.9771701550926081836223602294921875 Optimization Status: 2 scenario cost: 100078.9771701550926081836223602294921875 optimization time for scenario: 84 = 0.0557329654693603515625 scenario cost: 107365.522377470406354404985904693603515625 Optimization Status: 2 scenario cost: 107365.522377470406354404985904693603515625 optimization time for scenario: 85 = 0.0459439754486083984375 scenario cost: 114313.75320225572795607149600982666015625 Optimization Status: 2 scenario cost: 114313.75320225572795607149600982666015625 optimization time for scenario: 86 = 0.0600211620330810546875 scenario cost: 99638.49863045054371468722820281982421875 Optimization Status: 2 scenario cost: 99638.49863045054371468722820281982421875 optimization time for scenario: 87 = 0.066619873046875 scenario cost: 97407.523380160084343515336513519287109375 Optimization Status: 2 scenario cost: 97407.523380160084343515336513519287109375 optimization time for scenario: 88 = 0.055102825164794921875 scenario cost: 97164.176342997248866595327854156494140625 Optimization Status: 2 scenario cost: 97164.176342997248866595327854156494140625 optimization time for scenario: 89 = 0.0631310939788818359375 scenario cost: 107287.246708306382060982286930084228515625 Optimization Status: 2 scenario cost: 107287.246708306382060982286930084228515625 optimization time for scenario: 90 = 0.0490829944610595703125 scenario cost: 105301.375332378302118740975856781005859375 Optimization Status: 2 scenario cost: 105301.375332378302118740975856781005859375 optimization time for scenario: 91 = 0.0459568500518798828125 scenario cost: 104011.892158371789264492690563201904296875 Optimization Status: 2 scenario cost: 104011.892158371789264492690563201904296875 optimization time for scenario: 92 = 0.0254042148590087890625 scenario cost: 120224.189589547211653552949428558349609375 Optimization Status: 2 scenario cost: 120224.189589547211653552949428558349609375 optimization time for scenario: 93 = 0.024614810943603515625 scenario cost: 108663.356600700484705157577991485595703125 Optimization Status: 2 scenario cost: 108663.356600700484705157577991485595703125 optimization time for scenario: 94 = 0.0259559154510498046875 scenario cost: 106922.730971951197716407477855682373046875 Optimization Status: 2 scenario cost: 106922.730971951197716407477855682373046875 optimization time for scenario: 95 = 0.0227530002593994140625 scenario cost: 101270.533240173725062049925327301025390625 Optimization Status: 2 scenario cost: 101270.533240173725062049925327301025390625 optimization time for scenario: 96 = 0.0158870220184326171875 scenario cost: 107004.40549633014597930014133453369140625 Optimization Status: 2 scenario cost: 107004.40549633014597930014133453369140625 optimization time for scenario: 97 = 0.0166599750518798828125 scenario cost: 111078.379361507002613507211208343505859375 Optimization Status: 2 scenario cost: 111078.379361507002613507211208343505859375 optimization time for scenario: 98 = 0.01570796966552734375 scenario cost: 112320.67555330085451714694499969482421875 Optimization Status: 2 scenario cost: 112320.67555330085451714694499969482421875 optimization time for scenario: 99 = 0.015102863311767578125 Sending cuts of back to the stg 1 solver Objective Value 17711.22317533752720919437706470489501953125 memory usage: 112193352 received node: gen cut: Rental Cost 0 scenario cost: 112018.8881751170265488326549530029296875 Optimization Status: 2 scenario cost: 112018.8881751170265488326549530029296875 optimization time for scenario: 20 = 0.0634729862213134765625 scenario cost: 101344.98616794051486067473888397216796875 Optimization Status: 2 scenario cost: 101344.98616794051486067473888397216796875 optimization time for scenario: 21 = 0.0761330127716064453125 scenario cost: 100116.327067089601769112050533294677734375 Optimization Status: 2 scenario cost: 100116.327067089601769112050533294677734375 optimization time for scenario: 22 = 0.051785945892333984375 scenario cost: 104458.6834974913508631289005279541015625 Optimization Status: 2 scenario cost: 104458.6834974913508631289005279541015625 optimization time for scenario: 23 = 0.0636579990386962890625 scenario cost: 91548.633732115034945309162139892578125 Optimization Status: 2 scenario cost: 91548.633732115034945309162139892578125 optimization time for scenario: 24 = 0.050548076629638671875 scenario cost: 112582.06866240804083645343780517578125 Optimization Status: 2 scenario cost: 112582.06866240804083645343780517578125 optimization time for scenario: 25 = 0.0644199848175048828125 scenario cost: 98195.18386461710906587541103363037109375 Optimization Status: 2 scenario cost: 98195.18386461710906587541103363037109375 optimization time for scenario: 26 = 0.0277740955352783203125 scenario cost: 108238.5627581691951490938663482666015625 Optimization Status: 2 scenario cost: 108238.5627581691951490938663482666015625 optimization time for scenario: 27 = 0.0262491703033447265625 scenario cost: 118526.8106293614837341010570526123046875 Optimization Status: 2 scenario cost: 118526.8106293614837341010570526123046875 optimization time for scenario: 28 = 0.0265080928802490234375 scenario cost: 110475.212006733941962011158466339111328125 Optimization Status: 2 scenario cost: 110475.212006733941962011158466339111328125 optimization time for scenario: 29 = 0.0273220539093017578125 scenario cost: 168869.35557671511196531355381011962890625 Optimization Status: 2 scenario cost: 168869.35557671511196531355381011962890625 optimization time for scenario: 30 = 0.0278608798980712890625 scenario cost: 118082.0029083206318318843841552734375 Optimization Status: 2 scenario cost: 118082.0029083206318318843841552734375 optimization time for scenario: 31 = 0.02738094329833984375 scenario cost: 145038.18233181696268729865550994873046875 Optimization Status: 2 scenario cost: 145038.18233181696268729865550994873046875 optimization time for scenario: 32 = 0.027111053466796875 scenario cost: 121592.08723276350065134465694427490234375 Optimization Status: 2 scenario cost: 121592.08723276350065134465694427490234375 optimization time for scenario: 33 = 0.02676296234130859375 scenario cost: 149513.95274772911216132342815399169921875 Optimization Status: 2 scenario cost: 149513.95274772911216132342815399169921875 optimization time for scenario: 34 = 0.0293200016021728515625 scenario cost: 121630.516604591088253073394298553466796875 Optimization Status: 2 scenario cost: 121630.516604591088253073394298553466796875 optimization time for scenario: 35 = 0.0273721218109130859375 scenario cost: 100670.935114829670055769383907318115234375 Optimization Status: 2 scenario cost: 100670.935114829670055769383907318115234375 optimization time for scenario: 36 = 0.0284869670867919921875 scenario cost: 112880.152143839994096197187900543212890625 Optimization Status: 2 scenario cost: 112880.152143839994096197187900543212890625 optimization time for scenario: 37 = 0.0283238887786865234375 scenario cost: 122934.65159810116165317595005035400390625 Optimization Status: 2 scenario cost: 122934.65159810116165317595005035400390625 optimization time for scenario: 38 = 0.0265328884124755859375 scenario cost: 109622.54482726860442198812961578369140625 Optimization Status: 2 scenario cost: 109622.54482726860442198812961578369140625 optimization time for scenario: 39 = 0.0269958972930908203125 Sending cuts of back to the stg 1 solver Objective Value 19402.753535733907483518123626708984375 memory usage: 112194712 received node: gen cut: Rental Cost 0 scenario cost: 90912.60893108966411091387271881103515625 Optimization Status: 2 scenario cost: 90912.60893108966411091387271881103515625 optimization time for scenario: 0 = 0.028710842132568359375 scenario cost: 98831.07822897649020887911319732666015625 Optimization Status: 2 scenario cost: 98831.07822897649020887911319732666015625 optimization time for scenario: 1 = 0.0298459529876708984375 scenario cost: 103359.305983992308028973639011383056640625 Optimization Status: 2 scenario cost: 103359.305983992308028973639011383056640625 optimization time for scenario: 2 = 0.0297820568084716796875 scenario cost: 104004.61305537717998959124088287353515625 Optimization Status: 2 scenario cost: 104004.61305537717998959124088287353515625 optimization time for scenario: 3 = 0.0278880596160888671875 scenario cost: 110940.76365910211461596190929412841796875 Optimization Status: 2 scenario cost: 110940.76365910211461596190929412841796875 optimization time for scenario: 4 = 0.056108951568603515625 scenario cost: 114304.4253963252413086593151092529296875 Optimization Status: 2 scenario cost: 114304.4253963252413086593151092529296875 optimization time for scenario: 5 = 0.0619609355926513671875 scenario cost: 101300.6846986222662962973117828369140625 Optimization Status: 2 scenario cost: 101300.6846986222662962973117828369140625 optimization time for scenario: 6 = 0.0641028881072998046875 scenario cost: 101451.129716083072707988321781158447265625 Optimization Status: 2 scenario cost: 101451.129716083072707988321781158447265625 optimization time for scenario: 7 = 0.06437206268310546875 scenario cost: 91950.851233756984584033489227294921875 Optimization Status: 2 scenario cost: 91950.851233756984584033489227294921875 optimization time for scenario: 8 = 0.053845882415771484375 scenario cost: 111419.4307753425673581659793853759765625 Optimization Status: 2 scenario cost: 111419.4307753425673581659793853759765625 optimization time for scenario: 9 = 0.065001964569091796875 scenario cost: 100996.233552526988205499947071075439453125 Optimization Status: 2 scenario cost: 100996.233552526988205499947071075439453125 optimization time for scenario: 10 = 0.053122997283935546875 scenario cost: 86657.918867454864084720611572265625 Optimization Status: 2 scenario cost: 86657.918867454864084720611572265625 optimization time for scenario: 11 = 0.0537469387054443359375 scenario cost: 106888.516829352010972797870635986328125 Optimization Status: 2 scenario cost: 106888.516829352010972797870635986328125 optimization time for scenario: 12 = 0.0554468631744384765625 scenario cost: 102993.2163072447874583303928375244140625 Optimization Status: 2 scenario cost: 102993.2163072447874583303928375244140625 optimization time for scenario: 13 = 0.07188701629638671875 scenario cost: 101405.03509533056057989597320556640625 Optimization Status: 2 scenario cost: 101405.03509533056057989597320556640625 optimization time for scenario: 14 = 0.0279500484466552734375 scenario cost: 114867.606983350313385017216205596923828125 Optimization Status: 2 scenario cost: 114867.606983350313385017216205596923828125 optimization time for scenario: 15 = 0.0271251201629638671875 scenario cost: 100369.63571860062074847519397735595703125 Optimization Status: 2 scenario cost: 100369.63571860062074847519397735595703125 optimization time for scenario: 16 = 0.0241129398345947265625 scenario cost: 96518.482843940655584447085857391357421875 Optimization Status: 2 scenario cost: 96518.482843940655584447085857391357421875 optimization time for scenario: 17 = 0.0294148921966552734375 scenario cost: 116329.765449508340680040419101715087890625 Optimization Status: 2 scenario cost: 116329.765449508340680040419101715087890625 optimization time for scenario: 18 = 0.0342328548431396484375 scenario cost: 101709.418276423370116390287876129150390625 Optimization Status: 2 scenario cost: 101709.418276423370116390287876129150390625 optimization time for scenario: 19 = 0.0305478572845458984375 Sending cuts of back to the stg 1 solver Objective Value 17143.35410632928324048407375812530517578125 memory usage: 112196392 received node: gen cut: Rental Cost 0 scenario cost: 81431.20941523570218123495578765869140625 Optimization Status: 2 scenario cost: 81431.20941523570218123495578765869140625 optimization time for scenario: 0 = 0.0305249691009521484375 scenario cost: 88735.53190548330894671380519866943359375 Optimization Status: 2 scenario cost: 88735.53190548330894671380519866943359375 optimization time for scenario: 1 = 0.030539989471435546875 scenario cost: 91772.294179849443025887012481689453125 Optimization Status: 2 scenario cost: 91772.294179849443025887012481689453125 optimization time for scenario: 2 = 0.0479221343994140625 scenario cost: 92196.729716262823785655200481414794921875 Optimization Status: 2 scenario cost: 92196.729716262823785655200481414794921875 optimization time for scenario: 3 = 0.0551679134368896484375 scenario cost: 100542.812944385572336614131927490234375 Optimization Status: 2 scenario cost: 100542.812944385572336614131927490234375 optimization time for scenario: 4 = 0.05692195892333984375 scenario cost: 102817.414583236051839776337146759033203125 Optimization Status: 2 scenario cost: 102817.414583236051839776337146759033203125 optimization time for scenario: 5 = 0.05943584442138671875 scenario cost: 91089.253730304146301932632923126220703125 Optimization Status: 2 scenario cost: 91089.253730304146301932632923126220703125 optimization time for scenario: 6 = 0.053318023681640625 scenario cost: 91096.865535990407806821167469024658203125 Optimization Status: 2 scenario cost: 91096.865535990407806821167469024658203125 optimization time for scenario: 7 = 0.06530094146728515625 scenario cost: 81744.627876722210203297436237335205078125 Optimization Status: 2 scenario cost: 81744.627876722210203297436237335205078125 optimization time for scenario: 8 = 0.050426006317138671875 scenario cost: 99524.847339029263821430504322052001953125 Optimization Status: 2 scenario cost: 99524.847339029263821430504322052001953125 optimization time for scenario: 9 = 0.030445098876953125 scenario cost: 90752.605598875423311255872249603271484375 Optimization Status: 2 scenario cost: 90752.605598875423311255872249603271484375 optimization time for scenario: 10 = 0.0301220417022705078125 scenario cost: 76682.42464660663972608745098114013671875 Optimization Status: 2 scenario cost: 76682.42464660663972608745098114013671875 optimization time for scenario: 11 = 0.03017902374267578125 scenario cost: 95133.15884319055476225912570953369140625 Optimization Status: 2 scenario cost: 95133.15884319055476225912570953369140625 optimization time for scenario: 12 = 0.0293600559234619140625 scenario cost: 91348.2920388902421109378337860107421875 Optimization Status: 2 scenario cost: 91348.2920388902421109378337860107421875 optimization time for scenario: 13 = 0.0621969699859619140625 scenario cost: 91548.61337251146323978900909423828125 Optimization Status: 2 scenario cost: 91548.61337251146323978900909423828125 optimization time for scenario: 14 = 0.0562498569488525390625 scenario cost: 103584.109711223471094854176044464111328125 Optimization Status: 2 scenario cost: 103584.109711223471094854176044464111328125 optimization time for scenario: 15 = 0.0347850322723388671875 scenario cost: 89072.31490680380375124514102935791015625 Optimization Status: 2 scenario cost: 89072.31490680380375124514102935791015625 optimization time for scenario: 16 = 0.0292980670928955078125 scenario cost: 85172.44649719647713936865329742431640625 Optimization Status: 2 scenario cost: 85172.44649719647713936865329742431640625 optimization time for scenario: 17 = 0.0301349163055419921875 scenario cost: 104630.211653745369403623044490814208984375 Optimization Status: 2 scenario cost: 104630.211653745369403623044490814208984375 optimization time for scenario: 18 = 0.029448986053466796875 scenario cost: 91449.58842056841240264475345611572265625 Optimization Status: 2 scenario cost: 91449.58842056841240264475345611572265625 optimization time for scenario: 19 = 0.028789997100830078125 Sending cuts of back to the stg 1 solver Objective Value 15335.983263455824271659366786479949951171875 memory usage: 112197912 received node: gen cut: Rental Cost 0 scenario cost: 91614.39272887192782945930957794189453125 Optimization Status: 2 scenario cost: 91614.39272887192782945930957794189453125 optimization time for scenario: 0 = 0.035480022430419921875 scenario cost: 98898.988137865162570960819721221923828125 Optimization Status: 2 scenario cost: 98898.988137865162570960819721221923828125 optimization time for scenario: 1 = 0.039717197418212890625 scenario cost: 108200.947945008534588851034641265869140625 Optimization Status: 2 scenario cost: 108200.947945008534588851034641265869140625 optimization time for scenario: 2 = 0.0527789592742919921875 scenario cost: 108071.547893303752061910927295684814453125 Optimization Status: 2 scenario cost: 108071.547893303752061910927295684814453125 optimization time for scenario: 3 = 0.035295009613037109375 scenario cost: 109421.9276426504948176443576812744140625 Optimization Status: 2 scenario cost: 109421.9276426504948176443576812744140625 optimization time for scenario: 4 = 0.0358791351318359375 scenario cost: 137780.75095022856839932501316070556640625 Optimization Status: 2 scenario cost: 137780.75095022856839932501316070556640625 optimization time for scenario: 5 = 0.0357258319854736328125 scenario cost: 98331.109170911673572845757007598876953125 Optimization Status: 2 scenario cost: 98331.109170911673572845757007598876953125 optimization time for scenario: 6 = 0.059010982513427734375 scenario cost: 99094.48076063892222009599208831787109375 Optimization Status: 2 scenario cost: 99094.48076063892222009599208831787109375 optimization time for scenario: 7 = 0.073111057281494140625 scenario cost: 93040.363097084176843054592609405517578125 Optimization Status: 2 scenario cost: 93040.363097084176843054592609405517578125 optimization time for scenario: 8 = 0.035762786865234375 scenario cost: 122182.82668969282531179487705230712890625 Optimization Status: 2 scenario cost: 122182.82668969282531179487705230712890625 optimization time for scenario: 9 = 0.03551006317138671875 scenario cost: 101003.533015340697602368891239166259765625 Optimization Status: 2 scenario cost: 101003.533015340697602368891239166259765625 optimization time for scenario: 10 = 0.03784084320068359375 scenario cost: 84683.677170204769936390221118927001953125 Optimization Status: 2 scenario cost: 84683.677170204769936390221118927001953125 optimization time for scenario: 11 = 0.0360100269317626953125 scenario cost: 132331.9767130360123701393604278564453125 Optimization Status: 2 scenario cost: 132331.9767130360123701393604278564453125 optimization time for scenario: 12 = 0.0366790294647216796875 scenario cost: 118432.044373024269589222967624664306640625 Optimization Status: 2 scenario cost: 118432.044373024269589222967624664306640625 optimization time for scenario: 13 = 0.0355570316314697265625 scenario cost: 100433.5258104305830784142017364501953125 Optimization Status: 2 scenario cost: 100433.5258104305830784142017364501953125 optimization time for scenario: 14 = 0.0502250194549560546875 scenario cost: 122030.662378860331955365836620330810546875 Optimization Status: 2 scenario cost: 122030.662378860331955365836620330810546875 optimization time for scenario: 15 = 0.0716412067413330078125 scenario cost: 128305.20123809491633437573909759521484375 Optimization Status: 2 scenario cost: 128305.20123809491633437573909759521484375 optimization time for scenario: 16 = 0.0714550018310546875 scenario cost: 104061.243369791409350000321865081787109375 Optimization Status: 2 scenario cost: 104061.243369791409350000321865081787109375 optimization time for scenario: 17 = 0.04805088043212890625 scenario cost: 122735.399286037354613654315471649169921875 Optimization Status: 2 scenario cost: 122735.399286037354613654315471649169921875 optimization time for scenario: 18 = 0.0351440906524658203125 scenario cost: 101500.713077835840522311627864837646484375 Optimization Status: 2 scenario cost: 101500.713077835840522311627864837646484375 optimization time for scenario: 19 = 0.0374889373779296875 Sending cuts of back to the stg 1 solver Objective Value 18184.55485689721899689175188541412353515625 memory usage: 112199432 received node: gen cut: Rental Cost 0 scenario cost: 105290.07651980061200447380542755126953125 Optimization Status: 2 scenario cost: 105290.07651980061200447380542755126953125 optimization time for scenario: 60 = 0.072513103485107421875 scenario cost: 85207.0192597312270663678646087646484375 Optimization Status: 2 scenario cost: 85207.0192597312270663678646087646484375 optimization time for scenario: 61 = 0.07258892059326171875 scenario cost: 86586.292590110460878349840641021728515625 Optimization Status: 2 scenario cost: 86586.292590110460878349840641021728515625 optimization time for scenario: 62 = 0.074635028839111328125 scenario cost: 86979.06529381105792708694934844970703125 Optimization Status: 2 scenario cost: 86979.06529381105792708694934844970703125 optimization time for scenario: 63 = 0.0820429325103759765625 scenario cost: 101790.76560754704405553638935089111328125 Optimization Status: 2 scenario cost: 101790.76560754704405553638935089111328125 optimization time for scenario: 64 = 0.0569019317626953125 scenario cost: 105417.476183494334691204130649566650390625 Optimization Status: 2 scenario cost: 105417.476183494334691204130649566650390625 optimization time for scenario: 65 = 0.0361888408660888671875 scenario cost: 97313.007152551945182494819164276123046875 Optimization Status: 2 scenario cost: 97313.007152551945182494819164276123046875 optimization time for scenario: 66 = 0.0397717952728271484375 scenario cost: 89870.83347970186150632798671722412109375 Optimization Status: 2 scenario cost: 89870.83347970186150632798671722412109375 optimization time for scenario: 67 = 0.03620815277099609375 scenario cost: 88016.894018597391550429165363311767578125 Optimization Status: 2 scenario cost: 88016.894018597391550429165363311767578125 optimization time for scenario: 68 = 0.038652896881103515625 scenario cost: 91787.840697194609674625098705291748046875 Optimization Status: 2 scenario cost: 91787.840697194609674625098705291748046875 optimization time for scenario: 69 = 0.0384790897369384765625 scenario cost: 83781.82480205319006927311420440673828125 Optimization Status: 2 scenario cost: 83781.82480205319006927311420440673828125 optimization time for scenario: 70 = 0.03884792327880859375 scenario cost: 108688.721105110729695297777652740478515625 Optimization Status: 2 scenario cost: 108688.721105110729695297777652740478515625 optimization time for scenario: 71 = 0.037631988525390625 scenario cost: 101485.817672267483430914580821990966796875 Optimization Status: 2 scenario cost: 101485.817672267483430914580821990966796875 optimization time for scenario: 72 = 0.0366179943084716796875 scenario cost: 101724.0209026296506635844707489013671875 Optimization Status: 2 scenario cost: 101724.0209026296506635844707489013671875 optimization time for scenario: 73 = 0.071155071258544921875 scenario cost: 87968.9138502008863724768161773681640625 Optimization Status: 2 scenario cost: 87968.9138502008863724768161773681640625 optimization time for scenario: 74 = 0.0746381282806396484375 scenario cost: 106612.20868544213590212166309356689453125 Optimization Status: 2 scenario cost: 106612.20868544213590212166309356689453125 optimization time for scenario: 75 = 0.082828044891357421875 scenario cost: 93917.528803668727050535380840301513671875 Optimization Status: 2 scenario cost: 93917.528803668727050535380840301513671875 optimization time for scenario: 76 = 0.0819008350372314453125 scenario cost: 96479.82726392362383194267749786376953125 Optimization Status: 2 scenario cost: 96479.82726392362383194267749786376953125 optimization time for scenario: 77 = 0.074984073638916015625 scenario cost: 93541.05727452761493623256683349609375 Optimization Status: 2 scenario cost: 93541.05727452761493623256683349609375 optimization time for scenario: 78 = 0.0376720428466796875 scenario cost: 91889.307892617463949136435985565185546875 Optimization Status: 2 scenario cost: 91889.307892617463949136435985565185546875 optimization time for scenario: 79 = 0.0360012054443359375 Sending cuts of back to the stg 1 solver Objective Value 15869.507347174881942919455468654632568359375 memory usage: 112200792 received node: gen cut: Rental Cost 0 scenario cost: 85616.0012856305693276226520538330078125 Optimization Status: 2 scenario cost: 85616.0012856305693276226520538330078125 optimization time for scenario: 40 = 0.07413196563720703125 scenario cost: 101332.70790891247452236711978912353515625 Optimization Status: 2 scenario cost: 101332.70790891247452236711978912353515625 optimization time for scenario: 41 = 0.075169086456298828125 scenario cost: 88916.026345793507061898708343505859375 Optimization Status: 2 scenario cost: 88916.026345793507061898708343505859375 optimization time for scenario: 42 = 0.0891377925872802734375 scenario cost: 82912.159700462580076418817043304443359375 Optimization Status: 2 scenario cost: 82912.159700462580076418817043304443359375 optimization time for scenario: 43 = 0.0739319324493408203125 scenario cost: 106376.60706191579811275005340576171875 Optimization Status: 2 scenario cost: 106376.60706191579811275005340576171875 optimization time for scenario: 44 = 0.091269016265869140625 scenario cost: 86743.453967479872517287731170654296875 Optimization Status: 2 scenario cost: 86743.453967479872517287731170654296875 optimization time for scenario: 45 = 0.090504169464111328125 scenario cost: 89901.74928528451710008084774017333984375 Optimization Status: 2 scenario cost: 89901.74928528451710008084774017333984375 optimization time for scenario: 46 = 0.0747280120849609375 scenario cost: 100004.74116682916064746677875518798828125 Optimization Status: 2 scenario cost: 100004.74116682916064746677875518798828125 optimization time for scenario: 47 = 0.0863111019134521484375 scenario cost: 95436.99085767535143531858921051025390625 Optimization Status: 2 scenario cost: 95436.99085767535143531858921051025390625 optimization time for scenario: 48 = 0.0639550685882568359375 scenario cost: 89788.328359159539104439318180084228515625 Optimization Status: 2 scenario cost: 89788.328359159539104439318180084228515625 optimization time for scenario: 49 = 0.07069301605224609375 scenario cost: 76287.949401865116669796407222747802734375 Optimization Status: 2 scenario cost: 76287.949401865116669796407222747802734375 optimization time for scenario: 50 = 0.049398899078369140625 scenario cost: 109449.468420694698579609394073486328125 Optimization Status: 2 scenario cost: 109449.468420694698579609394073486328125 optimization time for scenario: 51 = 0.042591094970703125 scenario cost: 82736.45586353130056522786617279052734375 Optimization Status: 2 scenario cost: 82736.45586353130056522786617279052734375 optimization time for scenario: 52 = 0.0378220081329345703125 scenario cost: 79038.07236933955573476850986480712890625 Optimization Status: 2 scenario cost: 79038.07236933955573476850986480712890625 optimization time for scenario: 53 = 0.0375430583953857421875 scenario cost: 78264.105607064106152392923831939697265625 Optimization Status: 2 scenario cost: 78264.105607064106152392923831939697265625 optimization time for scenario: 54 = 0.04012298583984375 scenario cost: 81757.031971677075489424169063568115234375 Optimization Status: 2 scenario cost: 81757.031971677075489424169063568115234375 optimization time for scenario: 55 = 0.0453970432281494140625 scenario cost: 88937.283799908691435120999813079833984375 Optimization Status: 2 scenario cost: 88937.283799908691435120999813079833984375 optimization time for scenario: 56 = 0.0380728244781494140625 scenario cost: 91207.5382423889823257923126220703125 Optimization Status: 2 scenario cost: 91207.5382423889823257923126220703125 optimization time for scenario: 57 = 0.02826690673828125 scenario cost: 91756.455804294324479997158050537109375 Optimization Status: 2 scenario cost: 91756.455804294324479997158050537109375 optimization time for scenario: 58 = 0.0246829986572265625 scenario cost: 99859.738637062939233146607875823974609375 Optimization Status: 2 scenario cost: 99859.738637062939233146607875823974609375 optimization time for scenario: 59 = 0.02171993255615234375 Sending cuts of back to the stg 1 solver Objective Value 15052.63033971254844800569117069244384765625 memory usage: 112202472 received node: gen cut: Rental Cost 0 scenario cost: 129087.223204488764167763292789459228515625 Optimization Status: 2 scenario cost: 129087.223204488764167763292789459228515625 optimization time for scenario: 100 = 0.0374720096588134765625 scenario cost: 129034.833115392946638166904449462890625 Optimization Status: 2 scenario cost: 129034.833115392946638166904449462890625 optimization time for scenario: 101 = 0.0390908718109130859375 scenario cost: 94817.606368600390851497650146484375 Optimization Status: 2 scenario cost: 94817.606368600390851497650146484375 optimization time for scenario: 102 = 0.0890409946441650390625 scenario cost: 100088.169413781681214459240436553955078125 Optimization Status: 2 scenario cost: 100088.169413781681214459240436553955078125 optimization time for scenario: 103 = 0.07713794708251953125 scenario cost: 93451.61781798335141502320766448974609375 Optimization Status: 2 scenario cost: 93451.61781798335141502320766448974609375 optimization time for scenario: 104 = 0.071695804595947265625 scenario cost: 123980.82774424063973128795623779296875 Optimization Status: 2 scenario cost: 123980.82774424063973128795623779296875 optimization time for scenario: 105 = 0.0775668621063232421875 scenario cost: 89123.119533442935789935290813446044921875 Optimization Status: 2 scenario cost: 89123.119533442935789935290813446044921875 optimization time for scenario: 106 = 0.07277584075927734375 scenario cost: 103761.81418069850769825279712677001953125 Optimization Status: 2 scenario cost: 103761.81418069850769825279712677001953125 optimization time for scenario: 107 = 0.0718820095062255859375 scenario cost: 118012.88897512925905175507068634033203125 Optimization Status: 2 scenario cost: 118012.88897512925905175507068634033203125 optimization time for scenario: 108 = 0.079801082611083984375 scenario cost: 101604.271032119067967869341373443603515625 Optimization Status: 2 scenario cost: 101604.271032119067967869341373443603515625 optimization time for scenario: 109 = 0.0719039440155029296875 scenario cost: 101034.682149214539094828069210052490234375 Optimization Status: 2 scenario cost: 101034.682149214539094828069210052490234375 optimization time for scenario: 110 = 0.037556171417236328125 scenario cost: 101696.1322671373491175472736358642578125 Optimization Status: 2 scenario cost: 101696.1322671373491175472736358642578125 optimization time for scenario: 111 = 0.0362432003021240234375 scenario cost: 96390.30892256670631468296051025390625 Optimization Status: 2 scenario cost: 96390.30892256670631468296051025390625 optimization time for scenario: 112 = 0.0383470058441162109375 scenario cost: 107814.07627314943238161504268646240234375 Optimization Status: 2 scenario cost: 107814.07627314943238161504268646240234375 optimization time for scenario: 113 = 0.0380790233612060546875 scenario cost: 91011.244374775138567201793193817138671875 Optimization Status: 2 scenario cost: 91011.244374775138567201793193817138671875 optimization time for scenario: 114 = 0.0383560657501220703125 scenario cost: 97457.450088720695930533111095428466796875 Optimization Status: 2 scenario cost: 97457.450088720695930533111095428466796875 optimization time for scenario: 115 = 0.0349538326263427734375 scenario cost: 101623.875389548411476425826549530029296875 Optimization Status: 2 scenario cost: 101623.875389548411476425826549530029296875 optimization time for scenario: 116 = 0.038043975830078125 scenario cost: 100794.004075350123457610607147216796875 Optimization Status: 2 scenario cost: 100794.004075350123457610607147216796875 optimization time for scenario: 117 = 0.0377218723297119140625 scenario cost: 99388.877907337810029275715351104736328125 Optimization Status: 2 scenario cost: 99388.877907337810029275715351104736328125 optimization time for scenario: 118 = 0.0384919643402099609375 scenario cost: 96247.19475855011842213571071624755859375 Optimization Status: 2 scenario cost: 96247.19475855011842213571071624755859375 optimization time for scenario: 119 = 0.06027698516845703125 Sending cuts of back to the stg 1 solver Objective Value 17303.43259926131213433109223842620849609375 memory usage: 112203832 received node: gen cut: Rental Cost 0 scenario cost: 88922.485998160089366137981414794921875 Optimization Status: 2 scenario cost: 88922.485998160089366137981414794921875 optimization time for scenario: 80 = 0.041172027587890625 scenario cost: 107748.97226363173103891313076019287109375 Optimization Status: 2 scenario cost: 107748.97226363173103891313076019287109375 optimization time for scenario: 81 = 0.0419991016387939453125 scenario cost: 85098.66337175140506587922573089599609375 Optimization Status: 2 scenario cost: 85098.66337175140506587922573089599609375 optimization time for scenario: 82 = 0.0408790111541748046875 scenario cost: 98092.214255481798318214714527130126953125 Optimization Status: 2 scenario cost: 98092.214255481798318214714527130126953125 optimization time for scenario: 83 = 0.039166927337646484375 scenario cost: 86788.234101097346865572035312652587890625 Optimization Status: 2 scenario cost: 86788.234101097346865572035312652587890625 optimization time for scenario: 84 = 0.0436651706695556640625 scenario cost: 94549.83495272905565798282623291015625 Optimization Status: 2 scenario cost: 94549.83495272905565798282623291015625 optimization time for scenario: 85 = 0.0437557697296142578125 scenario cost: 103177.657895926080527715384960174560546875 Optimization Status: 2 scenario cost: 103177.657895926080527715384960174560546875 optimization time for scenario: 86 = 0.0410168170928955078125 scenario cost: 87433.5101502049365080893039703369140625 Optimization Status: 2 scenario cost: 87433.5101502049365080893039703369140625 optimization time for scenario: 87 = 0.0398280620574951171875 scenario cost: 85554.737396359778358601033687591552734375 Optimization Status: 2 scenario cost: 85554.737396359778358601033687591552734375 optimization time for scenario: 88 = 0.042291164398193359375 scenario cost: 85097.949882876244373619556427001953125 Optimization Status: 2 scenario cost: 85097.949882876244373619556427001953125 optimization time for scenario: 89 = 0.042201995849609375 scenario cost: 96902.72766300386865623295307159423828125 Optimization Status: 2 scenario cost: 96902.72766300386865623295307159423828125 optimization time for scenario: 90 = 0.0697689056396484375 scenario cost: 93755.88410343110444955527782440185546875 Optimization Status: 2 scenario cost: 93755.88410343110444955527782440185546875 optimization time for scenario: 91 = 0.0855090618133544921875 scenario cost: 93345.35417534658336080610752105712890625 Optimization Status: 2 scenario cost: 93345.35417534658336080610752105712890625 optimization time for scenario: 92 = 0.0973300933837890625 scenario cost: 109355.6804309544968418776988983154296875 Optimization Status: 2 scenario cost: 109355.6804309544968418776988983154296875 optimization time for scenario: 93 = 0.081851959228515625 scenario cost: 98037.262841212374041788280010223388671875 Optimization Status: 2 scenario cost: 98037.262841212374041788280010223388671875 optimization time for scenario: 94 = 0.078776836395263671875 scenario cost: 95711.01612058092723600566387176513671875 Optimization Status: 2 scenario cost: 95711.01612058092723600566387176513671875 optimization time for scenario: 95 = 0.0892169475555419921875 scenario cost: 88885.55098652382730506360530853271484375 Optimization Status: 2 scenario cost: 88885.55098652382730506360530853271484375 optimization time for scenario: 96 = 0.0898859500885009765625 scenario cost: 95971.80467762952321209013462066650390625 Optimization Status: 2 scenario cost: 95971.80467762952321209013462066650390625 optimization time for scenario: 97 = 0.076779842376708984375 scenario cost: 100531.7525533205480314791202545166015625 Optimization Status: 2 scenario cost: 100531.7525533205480314791202545166015625 optimization time for scenario: 98 = 0.060699939727783203125 scenario cost: 101367.63862681356840766966342926025390625 Optimization Status: 2 scenario cost: 101367.63862681356840766966342926025390625 optimization time for scenario: 99 = 0.0452411174774169921875 Sending cuts of back to the stg 1 solver Objective Value 15802.67789276087933103553950786590576171875 memory usage: 112205512 received node: gen cut: Rental Cost 0 scenario cost: 86848.9814344988553784787654876708984375 Optimization Status: 2 scenario cost: 86848.9814344988553784787654876708984375 optimization time for scenario: 80 = 0.0956299304962158203125 scenario cost: 103524.101142749001155607402324676513671875 Optimization Status: 2 scenario cost: 103524.101142749001155607402324676513671875 optimization time for scenario: 81 = 0.0808041095733642578125 scenario cost: 83091.917454128808458335697650909423828125 Optimization Status: 2 scenario cost: 83091.917454128808458335697650909423828125 optimization time for scenario: 82 = 0.1049239635467529296875 scenario cost: 95848.006598249237868003547191619873046875 Optimization Status: 2 scenario cost: 95848.006598249237868003547191619873046875 optimization time for scenario: 83 = 0.1291449069976806640625 scenario cost: 89357.593861674817162565886974334716796875 Optimization Status: 2 scenario cost: 89357.593861674817162565886974334716796875 optimization time for scenario: 84 = 0.0997111797332763671875 scenario cost: 93072.63159093630383722484111785888671875 Optimization Status: 2 scenario cost: 93072.63159093630383722484111785888671875 optimization time for scenario: 85 = 0.0923521518707275390625 scenario cost: 101048.451443854908575303852558135986328125 Optimization Status: 2 scenario cost: 101048.451443854908575303852558135986328125 optimization time for scenario: 86 = 0.1046659946441650390625 scenario cost: 86579.557571380049921572208404541015625 Optimization Status: 2 scenario cost: 86579.557571380049921572208404541015625 optimization time for scenario: 87 = 0.0777041912078857421875 scenario cost: 83750.308978310742531903088092803955078125 Optimization Status: 2 scenario cost: 83750.308978310742531903088092803955078125 optimization time for scenario: 88 = 0.0988929271697998046875 scenario cost: 86363.0348289252142421901226043701171875 Optimization Status: 2 scenario cost: 86363.0348289252142421901226043701171875 optimization time for scenario: 89 = 0.1007888317108154296875 scenario cost: 95376.917197563030640594661235809326171875 Optimization Status: 2 scenario cost: 95376.917197563030640594661235809326171875 optimization time for scenario: 90 = 0.083857059478759765625 scenario cost: 92034.2719332504202611744403839111328125 Optimization Status: 2 scenario cost: 92034.2719332504202611744403839111328125 optimization time for scenario: 91 = 0.0828800201416015625 scenario cost: 90270.546369550880626775324344635009765625 Optimization Status: 2 scenario cost: 90270.546369550880626775324344635009765625 optimization time for scenario: 92 = 0.047319889068603515625 scenario cost: 106814.264108654417213983833789825439453125 Optimization Status: 2 scenario cost: 106814.264108654417213983833789825439453125 optimization time for scenario: 93 = 0.0383131504058837890625 scenario cost: 95548.32254557634587399661540985107421875 Optimization Status: 2 scenario cost: 95548.32254557634587399661540985107421875 optimization time for scenario: 94 = 0.041285991668701171875 scenario cost: 93427.25022518643527291715145111083984375 Optimization Status: 2 scenario cost: 93427.25022518643527291715145111083984375 optimization time for scenario: 95 = 0.0405979156494140625 scenario cost: 88818.119465566196595318615436553955078125 Optimization Status: 2 scenario cost: 88818.119465566196595318615436553955078125 optimization time for scenario: 96 = 0.0281569957733154296875 scenario cost: 93408.504133145688683725893497467041015625 Optimization Status: 2 scenario cost: 93408.504133145688683725893497467041015625 optimization time for scenario: 97 = 0.024012088775634765625 scenario cost: 96968.23802467228961177170276641845703125 Optimization Status: 2 scenario cost: 96968.23802467228961177170276641845703125 optimization time for scenario: 98 = 0.0229442119598388671875 scenario cost: 97453.728253749533905647695064544677734375 Optimization Status: 2 scenario cost: 97453.728253749533905647695064544677734375 optimization time for scenario: 99 = 0.02476787567138671875 Sending cuts of back to the stg 1 solver Objective Value 15496.644239521958297700621187686920166015625 memory usage: 112207032 received node: gen cut: Rental Cost 0 scenario cost: 86851.450235269541735760867595672607421875 Optimization Status: 2 scenario cost: 86851.450235269541735760867595672607421875 optimization time for scenario: 0 = 0.074305057525634765625 scenario cost: 92221.975945015437901020050048828125 Optimization Status: 2 scenario cost: 92221.975945015437901020050048828125 optimization time for scenario: 1 = 0.0492990016937255859375 scenario cost: 96591.693012404502951540052890777587890625 Optimization Status: 2 scenario cost: 96591.693012404502951540052890777587890625 optimization time for scenario: 2 = 0.0527279376983642578125 scenario cost: 97008.300459257807233370840549468994140625 Optimization Status: 2 scenario cost: 97008.300459257807233370840549468994140625 optimization time for scenario: 3 = 0.047855854034423828125 scenario cost: 103447.756131158486823551356792449951171875 Optimization Status: 2 scenario cost: 103447.756131158486823551356792449951171875 optimization time for scenario: 4 = 0.051682949066162109375 scenario cost: 107271.7158384915092028677463531494140625 Optimization Status: 2 scenario cost: 107271.7158384915092028677463531494140625 optimization time for scenario: 5 = 0.047790050506591796875 scenario cost: 94416.18777073841192759573459625244140625 Optimization Status: 2 scenario cost: 94416.18777073841192759573459625244140625 optimization time for scenario: 6 = 0.0488708019256591796875 scenario cost: 94926.2226907049189321696758270263671875 Optimization Status: 2 scenario cost: 94926.2226907049189321696758270263671875 optimization time for scenario: 7 = 0.1031119823455810546875 scenario cost: 86920.450701920199207961559295654296875 Optimization Status: 2 scenario cost: 86920.450701920199207961559295654296875 optimization time for scenario: 8 = 0.09607791900634765625 scenario cost: 103893.6467514223768375813961029052734375 Optimization Status: 2 scenario cost: 103893.6467514223768375813961029052734375 optimization time for scenario: 9 = 0.1136682033538818359375 scenario cost: 94299.8625261552515439689159393310546875 Optimization Status: 2 scenario cost: 94299.8625261552515439689159393310546875 optimization time for scenario: 10 = 0.1011869907379150390625 scenario cost: 81302.517380034536472521722316741943359375 Optimization Status: 2 scenario cost: 81302.517380034536472521722316741943359375 optimization time for scenario: 11 = 0.1126019954681396484375 scenario cost: 97809.473974096574238501489162445068359375 Optimization Status: 2 scenario cost: 97809.473974096574238501489162445068359375 optimization time for scenario: 12 = 0.1000940799713134765625 scenario cost: 93928.09809019605745561420917510986328125 Optimization Status: 2 scenario cost: 93928.09809019605745561420917510986328125 optimization time for scenario: 13 = 0.1071870326995849609375 scenario cost: 93783.824312558819656260311603546142578125 Optimization Status: 2 scenario cost: 93783.824312558819656260311603546142578125 optimization time for scenario: 14 = 0.109600067138671875 scenario cost: 108226.758483957513817586004734039306640625 Optimization Status: 2 scenario cost: 108226.758483957513817586004734039306640625 optimization time for scenario: 15 = 0.0953781604766845703125 scenario cost: 91482.425013436586596071720123291015625 Optimization Status: 2 scenario cost: 91482.425013436586596071720123291015625 optimization time for scenario: 16 = 0.07791900634765625 scenario cost: 89231.303073067232617177069187164306640625 Optimization Status: 2 scenario cost: 89231.303073067232617177069187164306640625 optimization time for scenario: 17 = 0.0489461421966552734375 scenario cost: 109525.61956854813615791499614715576171875 Optimization Status: 2 scenario cost: 109525.61956854813615791499614715576171875 optimization time for scenario: 18 = 0.0446150302886962890625 scenario cost: 94966.582601368310861289501190185546875 Optimization Status: 2 scenario cost: 94966.582601368310861289501190185546875 optimization time for scenario: 19 = 0.043345928192138671875 Sending cuts of back to the stg 1 solver Objective Value 15984.151601136198223684914410114288330078125 memory usage: 112208392 received node: gen cut: Rental Cost 0 scenario cost: 93661.3065903938258998095989227294921875 Optimization Status: 2 scenario cost: 93661.3065903938258998095989227294921875 optimization time for scenario: 40 = 0.09722900390625 scenario cost: 110396.42428490167367272078990936279296875 Optimization Status: 2 scenario cost: 110396.42428490167367272078990936279296875 optimization time for scenario: 41 = 0.05620288848876953125 scenario cost: 95307.952014905677060596644878387451171875 Optimization Status: 2 scenario cost: 95307.952014905677060596644878387451171875 optimization time for scenario: 42 = 0.0496158599853515625 scenario cost: 89877.7480388426338322460651397705078125 Optimization Status: 2 scenario cost: 89877.7480388426338322460651397705078125 optimization time for scenario: 43 = 0.0832750797271728515625 scenario cost: 116212.533198490389622747898101806640625 Optimization Status: 2 scenario cost: 116212.533198490389622747898101806640625 optimization time for scenario: 44 = 0.0800359249114990234375 scenario cost: 93009.3328661878476850688457489013671875 Optimization Status: 2 scenario cost: 93009.3328661878476850688457489013671875 optimization time for scenario: 45 = 0.0744550228118896484375 scenario cost: 94303.634029598746565170586109161376953125 Optimization Status: 2 scenario cost: 94303.634029598746565170586109161376953125 optimization time for scenario: 46 = 0.0458900928497314453125 scenario cost: 111108.424574897057027556002140045166015625 Optimization Status: 2 scenario cost: 111108.424574897057027556002140045166015625 optimization time for scenario: 47 = 0.0439031124114990234375 scenario cost: 102592.39601942876470275223255157470703125 Optimization Status: 2 scenario cost: 102592.39601942876470275223255157470703125 optimization time for scenario: 48 = 0.0462520122528076171875 scenario cost: 97901.96529460255987942218780517578125 Optimization Status: 2 scenario cost: 97901.96529460255987942218780517578125 optimization time for scenario: 49 = 0.0441958904266357421875 scenario cost: 80743.810962936418945901095867156982421875 Optimization Status: 2 scenario cost: 80743.810962936418945901095867156982421875 optimization time for scenario: 50 = 0.045878887176513671875 scenario cost: 120647.553092787173227407038211822509765625 Optimization Status: 2 scenario cost: 120647.553092787173227407038211822509765625 optimization time for scenario: 51 = 0.063270092010498046875 scenario cost: 90374.700709659882704727351665496826171875 Optimization Status: 2 scenario cost: 90374.700709659882704727351665496826171875 optimization time for scenario: 52 = 0.109899044036865234375 scenario cost: 85599.9245340419583953917026519775390625 Optimization Status: 2 scenario cost: 85599.9245340419583953917026519775390625 optimization time for scenario: 53 = 0.09521007537841796875 scenario cost: 81805.218293945174082182347774505615234375 Optimization Status: 2 scenario cost: 81805.218293945174082182347774505615234375 optimization time for scenario: 54 = 0.096598148345947265625 scenario cost: 91598.669741320234606973826885223388671875 Optimization Status: 2 scenario cost: 91598.669741320234606973826885223388671875 optimization time for scenario: 55 = 0.0905721187591552734375 scenario cost: 94892.73404524262878112494945526123046875 Optimization Status: 2 scenario cost: 94892.73404524262878112494945526123046875 optimization time for scenario: 56 = 0.0466358661651611328125 scenario cost: 96534.365146018521045334637165069580078125 Optimization Status: 2 scenario cost: 96534.365146018521045334637165069580078125 optimization time for scenario: 57 = 0.0474720001220703125 scenario cost: 98528.765335319374571554362773895263671875 Optimization Status: 2 scenario cost: 98528.765335319374571554362773895263671875 optimization time for scenario: 58 = 0.047770977020263671875 scenario cost: 107110.50351322046481072902679443359375 Optimization Status: 2 scenario cost: 107110.50351322046481072902679443359375 optimization time for scenario: 59 = 0.04586315155029296875 Sending cuts of back to the stg 1 solver Objective Value 16268.334612124099294305779039859771728515625 memory usage: 112210072 received node: gen cut: Rental Cost 0 scenario cost: 92950.9723066038568504154682159423828125 Optimization Status: 2 scenario cost: 92950.9723066038568504154682159423828125 optimization time for scenario: 20 = 0.05920314788818359375 scenario cost: 82590.465290818930952809751033782958984375 Optimization Status: 2 scenario cost: 82590.465290818930952809751033782958984375 optimization time for scenario: 21 = 0.04765796661376953125 scenario cost: 82501.926819286236423067748546600341796875 Optimization Status: 2 scenario cost: 82501.926819286236423067748546600341796875 optimization time for scenario: 22 = 0.0853359699249267578125 scenario cost: 91299.46606979522039182484149932861328125 Optimization Status: 2 scenario cost: 91299.46606979522039182484149932861328125 optimization time for scenario: 23 = 0.0711719989776611328125 scenario cost: 76487.361780447259661741554737091064453125 Optimization Status: 2 scenario cost: 76487.361780447259661741554737091064453125 optimization time for scenario: 24 = 0.0451450347900390625 scenario cost: 92883.735658186269574798643589019775390625 Optimization Status: 2 scenario cost: 92883.735658186269574798643589019775390625 optimization time for scenario: 25 = 0.051146984100341796875 scenario cost: 82383.159597363774082623422145843505859375 Optimization Status: 2 scenario cost: 82383.159597363774082623422145843505859375 optimization time for scenario: 26 = 0.0457069873809814453125 scenario cost: 86001.26187043372192420065402984619140625 Optimization Status: 2 scenario cost: 86001.26187043372192420065402984619140625 optimization time for scenario: 27 = 0.0493299961090087890625 scenario cost: 97874.8464741407078690826892852783203125 Optimization Status: 2 scenario cost: 97874.8464741407078690826892852783203125 optimization time for scenario: 28 = 0.0472710132598876953125 scenario cost: 89341.412393775812233798205852508544921875 Optimization Status: 2 scenario cost: 89341.412393775812233798205852508544921875 optimization time for scenario: 29 = 0.0551569461822509765625 scenario cost: 118060.727843630898860283195972442626953125 Optimization Status: 2 scenario cost: 118060.727843630898860283195972442626953125 optimization time for scenario: 30 = 0.072289943695068359375 scenario cost: 95110.935739373424439691007137298583984375 Optimization Status: 2 scenario cost: 95110.935739373424439691007137298583984375 optimization time for scenario: 31 = 0.049533843994140625 scenario cost: 107467.6588852077838964760303497314453125 Optimization Status: 2 scenario cost: 107467.6588852077838964760303497314453125 optimization time for scenario: 32 = 0.0542469024658203125 scenario cost: 101508.653697358429781161248683929443359375 Optimization Status: 2 scenario cost: 101508.653697358429781161248683929443359375 optimization time for scenario: 33 = 0.05280399322509765625 scenario cost: 103071.044340495151118375360965728759765625 Optimization Status: 2 scenario cost: 103071.044340495151118375360965728759765625 optimization time for scenario: 34 = 0.0520918369293212890625 scenario cost: 95451.88444485046784393489360809326171875 Optimization Status: 2 scenario cost: 95451.88444485046784393489360809326171875 optimization time for scenario: 35 = 0.0500118732452392578125 scenario cost: 80818.529364524278207682073116302490234375 Optimization Status: 2 scenario cost: 80818.529364524278207682073116302490234375 optimization time for scenario: 36 = 0.0539829730987548828125 scenario cost: 89997.154120100676664151251316070556640625 Optimization Status: 2 scenario cost: 89997.154120100676664151251316070556640625 optimization time for scenario: 37 = 0.050075054168701171875 scenario cost: 98778.558472732445807196199893951416015625 Optimization Status: 2 scenario cost: 98778.558472732445807196199893951416015625 optimization time for scenario: 38 = 0.052731990814208984375 scenario cost: 88523.63961864364682696759700775146484375 Optimization Status: 2 scenario cost: 88523.63961864364682696759700775146484375 optimization time for scenario: 39 = 0.0514609813690185546875 Sending cuts of back to the stg 1 solver Objective Value 15442.466519784915362833999097347259521484375 memory usage: 112211432 received node: gen cut: Rental Cost 0 scenario cost: 93674.994157205233932472765445709228515625 Optimization Status: 2 scenario cost: 93674.994157205233932472765445709228515625 optimization time for scenario: 20 = 0.1082479953765869140625 scenario cost: 83223.75568471779115498065948486328125 Optimization Status: 2 scenario cost: 83223.75568471779115498065948486328125 optimization time for scenario: 21 = 0.1142559051513671875 scenario cost: 82391.920622019664733670651912689208984375 Optimization Status: 2 scenario cost: 82391.920622019664733670651912689208984375 optimization time for scenario: 22 = 0.062281131744384765625 scenario cost: 91269.33760362750035710632801055908203125 Optimization Status: 2 scenario cost: 91269.33760362750035710632801055908203125 optimization time for scenario: 23 = 0.0477211475372314453125 scenario cost: 76036.874761373052024282515048980712890625 Optimization Status: 2 scenario cost: 76036.874761373052024282515048980712890625 optimization time for scenario: 24 = 0.0497510433197021484375 scenario cost: 93472.251001920885755680501461029052734375 Optimization Status: 2 scenario cost: 93472.251001920885755680501461029052734375 optimization time for scenario: 25 = 0.0441639423370361328125 scenario cost: 82329.550224928083480335772037506103515625 Optimization Status: 2 scenario cost: 82329.550224928083480335772037506103515625 optimization time for scenario: 26 = 0.0503480434417724609375 scenario cost: 86628.269693642781930975615978240966796875 Optimization Status: 2 scenario cost: 86628.269693642781930975615978240966796875 optimization time for scenario: 27 = 0.053452014923095703125 scenario cost: 98595.43127299842308275401592254638671875 Optimization Status: 2 scenario cost: 98595.43127299842308275401592254638671875 optimization time for scenario: 28 = 0.047423839569091796875 scenario cost: 89765.912870842250413261353969573974609375 Optimization Status: 2 scenario cost: 89765.912870842250413261353969573974609375 optimization time for scenario: 29 = 0.053640842437744140625 scenario cost: 119485.172023322826134972274303436279296875 Optimization Status: 2 scenario cost: 119485.172023322826134972274303436279296875 optimization time for scenario: 30 = 0.0449621677398681640625 scenario cost: 96186.54849632616969756782054901123046875 Optimization Status: 2 scenario cost: 96186.54849632616969756782054901123046875 optimization time for scenario: 31 = 0.050640106201171875 scenario cost: 108574.6158667534473352134227752685546875 Optimization Status: 2 scenario cost: 108574.6158667534473352134227752685546875 optimization time for scenario: 32 = 0.0445768833160400390625 scenario cost: 102066.53234262517071329057216644287109375 Optimization Status: 2 scenario cost: 102066.53234262517071329057216644287109375 optimization time for scenario: 33 = 0.0480201244354248046875 scenario cost: 104246.974447205007891170680522918701171875 Optimization Status: 2 scenario cost: 104246.974447205007891170680522918701171875 optimization time for scenario: 34 = 0.0470278263092041015625 scenario cost: 96334.162818116121343336999416351318359375 Optimization Status: 2 scenario cost: 96334.162818116121343336999416351318359375 optimization time for scenario: 35 = 0.0559399127960205078125 scenario cost: 81669.594082982861436903476715087890625 Optimization Status: 2 scenario cost: 81669.594082982861436903476715087890625 optimization time for scenario: 36 = 0.05358600616455078125 scenario cost: 91076.00610684233834035694599151611328125 Optimization Status: 2 scenario cost: 91076.00610684233834035694599151611328125 optimization time for scenario: 37 = 0.0542199611663818359375 scenario cost: 99366.8118401157553307712078094482421875 Optimization Status: 2 scenario cost: 99366.8118401157553307712078094482421875 optimization time for scenario: 38 = 0.0675652027130126953125 scenario cost: 89347.1606638713856227695941925048828125 Optimization Status: 2 scenario cost: 89347.1606638713856227695941925048828125 optimization time for scenario: 39 = 0.1078178882598876953125 Sending cuts of back to the stg 1 solver Objective Value 15547.78678011608644737862050533294677734375 memory usage: 112213112 received node: gen cut: Rental Cost 0 scenario cost: 98292.334636647326988168060779571533203125 Optimization Status: 2 scenario cost: 98292.334636647326988168060779571533203125 optimization time for scenario: 60 = 0.0489389896392822265625 scenario cost: 82969.5141351308557204902172088623046875 Optimization Status: 2 scenario cost: 82969.5141351308557204902172088623046875 optimization time for scenario: 61 = 0.0491969585418701171875 scenario cost: 84683.424068591979448683559894561767578125 Optimization Status: 2 scenario cost: 84683.424068591979448683559894561767578125 optimization time for scenario: 62 = 0.0522410869598388671875 scenario cost: 85951.000397125186282210052013397216796875 Optimization Status: 2 scenario cost: 85951.000397125186282210052013397216796875 optimization time for scenario: 63 = 0.113357067108154296875 scenario cost: 100528.482061381757375784218311309814453125 Optimization Status: 2 scenario cost: 100528.482061381757375784218311309814453125 optimization time for scenario: 64 = 0.1598789691925048828125 scenario cost: 101610.02101352278259582817554473876953125 Optimization Status: 2 scenario cost: 101610.02101352278259582817554473876953125 optimization time for scenario: 65 = 0.0489070415496826171875 scenario cost: 92783.035565168873290531337261199951171875 Optimization Status: 2 scenario cost: 92783.035565168873290531337261199951171875 optimization time for scenario: 66 = 0.0450317859649658203125 scenario cost: 85813.46490097857895307242870330810546875 Optimization Status: 2 scenario cost: 85813.46490097857895307242870330810546875 optimization time for scenario: 67 = 0.0487918853759765625 scenario cost: 86155.7346553563256748020648956298828125 Optimization Status: 2 scenario cost: 86155.7346553563256748020648956298828125 optimization time for scenario: 68 = 0.04804897308349609375 scenario cost: 90274.25376422554836608469486236572265625 Optimization Status: 2 scenario cost: 90274.25376422554836608469486236572265625 optimization time for scenario: 69 = 0.046844959259033203125 scenario cost: 83800.458472959711798466742038726806640625 Optimization Status: 2 scenario cost: 83800.458472959711798466742038726806640625 optimization time for scenario: 70 = 0.046904087066650390625 scenario cost: 105059.941954033929505385458469390869140625 Optimization Status: 2 scenario cost: 105059.941954033929505385458469390869140625 optimization time for scenario: 71 = 0.0744168758392333984375 scenario cost: 99398.551422501259366981685161590576171875 Optimization Status: 2 scenario cost: 99398.551422501259366981685161590576171875 optimization time for scenario: 72 = 0.095839977264404296875 scenario cost: 101058.806727026749285869300365447998046875 Optimization Status: 2 scenario cost: 101058.806727026749285869300365447998046875 optimization time for scenario: 73 = 0.0956890583038330078125 scenario cost: 86624.044123198909801431000232696533203125 Optimization Status: 2 scenario cost: 86624.044123198909801431000232696533203125 optimization time for scenario: 74 = 0.1055698394775390625 scenario cost: 103514.067376621285802684724330902099609375 Optimization Status: 2 scenario cost: 103514.067376621285802684724330902099609375 optimization time for scenario: 75 = 0.09261608123779296875 scenario cost: 93606.589494583415216766297817230224609375 Optimization Status: 2 scenario cost: 93606.589494583415216766297817230224609375 optimization time for scenario: 76 = 0.1043541431427001953125 scenario cost: 94365.0926880004699341952800750732421875 Optimization Status: 2 scenario cost: 94365.0926880004699341952800750732421875 optimization time for scenario: 77 = 0.098042011260986328125 scenario cost: 90491.831378445567679591476917266845703125 Optimization Status: 2 scenario cost: 90491.831378445567679591476917266845703125 optimization time for scenario: 78 = 0.05029392242431640625 scenario cost: 87530.576163829668075777590274810791015625 Optimization Status: 2 scenario cost: 87530.576163829668075777590274810791015625 optimization time for scenario: 79 = 0.0485889911651611328125 Sending cuts of back to the stg 1 solver Objective Value 15454.19839128691819496452808380126953125 memory usage: 112214632 received node: gen cut: Rental Cost 0 scenario cost: 90061.733004430236178450286388397216796875 Optimization Status: 2 scenario cost: 90061.733004430236178450286388397216796875 optimization time for scenario: 0 = 0.1083409786224365234375 scenario cost: 97801.31331191372009925544261932373046875 Optimization Status: 2 scenario cost: 97801.31331191372009925544261932373046875 optimization time for scenario: 1 = 0.105719089508056640625 scenario cost: 103602.154402777334325946867465972900390625 Optimization Status: 2 scenario cost: 103602.154402777334325946867465972900390625 optimization time for scenario: 2 = 0.091412067413330078125 scenario cost: 104356.698723023393540643155574798583984375 Optimization Status: 2 scenario cost: 104356.698723023393540643155574798583984375 optimization time for scenario: 3 = 0.097805023193359375 scenario cost: 108301.672011770933750085532665252685546875 Optimization Status: 2 scenario cost: 108301.672011770933750085532665252685546875 optimization time for scenario: 4 = 0.0949208736419677734375 scenario cost: 115049.7127388123772107064723968505859375 Optimization Status: 2 scenario cost: 115049.7127388123772107064723968505859375 optimization time for scenario: 5 = 0.0956180095672607421875 scenario cost: 97301.51182415764196775853633880615234375 Optimization Status: 2 scenario cost: 97301.51182415764196775853633880615234375 optimization time for scenario: 6 = 0.0920479297637939453125 scenario cost: 98036.152293837047182023525238037109375 Optimization Status: 2 scenario cost: 98036.152293837047182023525238037109375 optimization time for scenario: 7 = 0.091330051422119140625 scenario cost: 92210.203828037847415544092655181884765625 Optimization Status: 2 scenario cost: 92210.203828037847415544092655181884765625 optimization time for scenario: 8 = 0.107820987701416015625 scenario cost: 112753.33875125952181406319141387939453125 Optimization Status: 2 scenario cost: 112753.33875125952181406319141387939453125 optimization time for scenario: 9 = 0.0988290309906005859375 scenario cost: 99893.988676241788198240101337432861328125 Optimization Status: 2 scenario cost: 99893.988676241788198240101337432861328125 optimization time for scenario: 10 = 0.057547092437744140625 scenario cost: 83082.743301760972826741635799407958984375 Optimization Status: 2 scenario cost: 83082.743301760972826741635799407958984375 optimization time for scenario: 11 = 0.0473568439483642578125 scenario cost: 116514.5724009151454083621501922607421875 Optimization Status: 2 scenario cost: 116514.5724009151454083621501922607421875 optimization time for scenario: 12 = 0.0478889942169189453125 scenario cost: 112338.7527112789102829992771148681640625 Optimization Status: 2 scenario cost: 112338.7527112789102829992771148681640625 optimization time for scenario: 13 = 0.047828197479248046875 scenario cost: 98271.45968675310723483562469482421875 Optimization Status: 2 scenario cost: 98271.45968675310723483562469482421875 optimization time for scenario: 14 = 0.0486469268798828125 scenario cost: 115368.441558580627315677702426910400390625 Optimization Status: 2 scenario cost: 115368.441558580627315677702426910400390625 optimization time for scenario: 15 = 0.0460178852081298828125 scenario cost: 109158.13149214602890424430370330810546875 Optimization Status: 2 scenario cost: 109158.13149214602890424430370330810546875 optimization time for scenario: 16 = 0.045341014862060546875 scenario cost: 97269.3946044578333385288715362548828125 Optimization Status: 2 scenario cost: 97269.3946044578333385288715362548828125 optimization time for scenario: 17 = 0.0472638607025146484375 scenario cost: 116766.052715958634507842361927032470703125 Optimization Status: 2 scenario cost: 116766.052715958634507842361927032470703125 optimization time for scenario: 18 = 0.0381190776824951171875 scenario cost: 100422.545816823214408941566944122314453125 Optimization Status: 2 scenario cost: 100422.545816823214408941566944122314453125 optimization time for scenario: 19 = 0.028478145599365234375 Sending cuts of back to the stg 1 solver Objective Value 17237.93583010533984634093940258026123046875 memory usage: 112215992 received node: gen cut: Rental Cost 0 scenario cost: 92277.7356722285039722919464111328125 Optimization Status: 2 scenario cost: 92277.7356722285039722919464111328125 optimization time for scenario: 40 = 0.0944120883941650390625 scenario cost: 109316.2165448774467222392559051513671875 Optimization Status: 2 scenario cost: 109316.2165448774467222392559051513671875 optimization time for scenario: 41 = 0.071753978729248046875 scenario cost: 95967.95434281500638462603092193603515625 Optimization Status: 2 scenario cost: 95967.95434281500638462603092193603515625 optimization time for scenario: 42 = 0.05058002471923828125 scenario cost: 89387.147158169202157296240329742431640625 Optimization Status: 2 scenario cost: 89387.147158169202157296240329742431640625 optimization time for scenario: 43 = 0.0697400569915771484375 scenario cost: 114994.44019607445807196199893951416015625 Optimization Status: 2 scenario cost: 114994.44019607445807196199893951416015625 optimization time for scenario: 44 = 0.088798046112060546875 scenario cost: 93472.462553037403267808258533477783203125 Optimization Status: 2 scenario cost: 93472.462553037403267808258533477783203125 optimization time for scenario: 45 = 0.04693698883056640625 scenario cost: 95709.25164793702424503862857818603515625 Optimization Status: 2 scenario cost: 95709.25164793702424503862857818603515625 optimization time for scenario: 46 = 0.0450241565704345703125 scenario cost: 109945.3425160945043899118900299072265625 Optimization Status: 2 scenario cost: 109945.3425160945043899118900299072265625 optimization time for scenario: 47 = 0.0477581024169921875 scenario cost: 102396.362384175139595754444599151611328125 Optimization Status: 2 scenario cost: 102396.362384175139595754444599151611328125 optimization time for scenario: 48 = 0.046080112457275390625 scenario cost: 96739.211487091597518883645534515380859375 Optimization Status: 2 scenario cost: 96739.211487091597518883645534515380859375 optimization time for scenario: 49 = 0.0458719730377197265625 scenario cost: 82120.184580955377896316349506378173828125 Optimization Status: 2 scenario cost: 82120.184580955377896316349506378173828125 optimization time for scenario: 50 = 0.086061000823974609375 scenario cost: 125949.543484037407324649393558502197265625 Optimization Status: 2 scenario cost: 125949.543484037407324649393558502197265625 optimization time for scenario: 51 = 0.09457302093505859375 scenario cost: 89107.937493870849721133708953857421875 Optimization Status: 2 scenario cost: 89107.937493870849721133708953857421875 optimization time for scenario: 52 = 0.0947780609130859375 scenario cost: 85291.4593914332217536866664886474609375 Optimization Status: 2 scenario cost: 85291.4593914332217536866664886474609375 optimization time for scenario: 53 = 0.0912320613861083984375 scenario cost: 82693.541709872763021849095821380615234375 Optimization Status: 2 scenario cost: 82693.541709872763021849095821380615234375 optimization time for scenario: 54 = 0.0673618316650390625 scenario cost: 90227.154078025007038377225399017333984375 Optimization Status: 2 scenario cost: 90227.154078025007038377225399017333984375 optimization time for scenario: 55 = 0.0445461273193359375 scenario cost: 94061.467085236407001502811908721923828125 Optimization Status: 2 scenario cost: 94061.467085236407001502811908721923828125 optimization time for scenario: 56 = 0.056521892547607421875 scenario cost: 97733.519693233814905397593975067138671875 Optimization Status: 2 scenario cost: 97733.519693233814905397593975067138671875 optimization time for scenario: 57 = 0.09671115875244140625 scenario cost: 98480.47841923710075207054615020751953125 Optimization Status: 2 scenario cost: 98480.47841923710075207054615020751953125 optimization time for scenario: 58 = 0.0565578937530517578125 scenario cost: 106243.05221283782157115638256072998046875 Optimization Status: 2 scenario cost: 106243.05221283782157115638256072998046875 optimization time for scenario: 59 = 0.029859066009521484375 Sending cuts of back to the stg 1 solver Objective Value 16267.55545161157715483568608760833740234375 memory usage: 112217672 received node: gen cut: Rental Cost 0 scenario cost: 112040.93737807474099099636077880859375 Optimization Status: 2 scenario cost: 112040.93737807474099099636077880859375 optimization time for scenario: 100 = 0.0512259006500244140625 scenario cost: 115943.647413774990127421915531158447265625 Optimization Status: 2 scenario cost: 115943.647413774990127421915531158447265625 optimization time for scenario: 101 = 0.0511951446533203125 scenario cost: 91124.368426182991242967545986175537109375 Optimization Status: 2 scenario cost: 91124.368426182991242967545986175537109375 optimization time for scenario: 102 = 0.0605909824371337890625 scenario cost: 96509.8138864779029972851276397705078125 Optimization Status: 2 scenario cost: 96509.8138864779029972851276397705078125 optimization time for scenario: 103 = 0.05879116058349609375 scenario cost: 92828.43657742868526838719844818115234375 Optimization Status: 2 scenario cost: 92828.43657742868526838719844818115234375 optimization time for scenario: 104 = 0.0633361339569091796875 scenario cost: 107459.686628177252714522182941436767578125 Optimization Status: 2 scenario cost: 107459.686628177252714522182941436767578125 optimization time for scenario: 105 = 0.0711231231689453125 scenario cost: 85950.87198414540034718811511993408203125 Optimization Status: 2 scenario cost: 85950.87198414540034718811511993408203125 optimization time for scenario: 106 = 0.1054689884185791015625 scenario cost: 100509.27139983055531047284603118896484375 Optimization Status: 2 scenario cost: 100509.27139983055531047284603118896484375 optimization time for scenario: 107 = 0.11507701873779296875 scenario cost: 114036.618377820312161929905414581298828125 Optimization Status: 2 scenario cost: 114036.618377820312161929905414581298828125 optimization time for scenario: 108 = 0.10638904571533203125 scenario cost: 99205.3318833985249511897563934326171875 Optimization Status: 2 scenario cost: 99205.3318833985249511897563934326171875 optimization time for scenario: 109 = 0.109877109527587890625 scenario cost: 97387.470471733089652843773365020751953125 Optimization Status: 2 scenario cost: 97387.470471733089652843773365020751953125 optimization time for scenario: 110 = 0.11114501953125 scenario cost: 98860.50850274719414301216602325439453125 Optimization Status: 2 scenario cost: 98860.50850274719414301216602325439453125 optimization time for scenario: 111 = 0.1051938533782958984375 scenario cost: 92893.233524225492146797478199005126953125 Optimization Status: 2 scenario cost: 92893.233524225492146797478199005126953125 optimization time for scenario: 112 = 0.1097819805145263671875 scenario cost: 105044.57180191413499414920806884765625 Optimization Status: 2 scenario cost: 105044.57180191413499414920806884765625 optimization time for scenario: 113 = 0.106236934661865234375 scenario cost: 89472.211323547482606954872608184814453125 Optimization Status: 2 scenario cost: 89472.211323547482606954872608184814453125 optimization time for scenario: 114 = 0.093019008636474609375 scenario cost: 93773.3864860201138071715831756591796875 Optimization Status: 2 scenario cost: 93773.3864860201138071715831756591796875 optimization time for scenario: 115 = 0.049563884735107421875 scenario cost: 99444.4497176383738406002521514892578125 Optimization Status: 2 scenario cost: 99444.4497176383738406002521514892578125 optimization time for scenario: 116 = 0.0487248897552490234375 scenario cost: 96373.996199438421172089874744415283203125 Optimization Status: 2 scenario cost: 96373.996199438421172089874744415283203125 optimization time for scenario: 117 = 0.0493361949920654296875 scenario cost: 95204.385255781817249953746795654296875 Optimization Status: 2 scenario cost: 95204.385255781817249953746795654296875 optimization time for scenario: 118 = 0.04279994964599609375 scenario cost: 92685.221659783492214046418666839599609375 Optimization Status: 2 scenario cost: 92685.221659783492214046418666839599609375 optimization time for scenario: 119 = 0.0453879833221435546875 Sending cuts of back to the stg 1 solver Objective Value 16472.83759920388183672912418842315673828125 memory usage: 112219032 received node: gen cut: Rental Cost 0 scenario cost: 97019.63436201264266856014728546142578125 Optimization Status: 2 scenario cost: 97019.63436201264266856014728546142578125 optimization time for scenario: 20 = 0.0979330539703369140625 scenario cost: 86760.513924807324656285345554351806640625 Optimization Status: 2 scenario cost: 86760.513924807324656285345554351806640625 optimization time for scenario: 21 = 0.107418060302734375 scenario cost: 86216.027647298775264061987400054931640625 Optimization Status: 2 scenario cost: 86216.027647298775264061987400054931640625 optimization time for scenario: 22 = 0.0950720310211181640625 scenario cost: 95085.82229340038611553609371185302734375 Optimization Status: 2 scenario cost: 95085.82229340038611553609371185302734375 optimization time for scenario: 23 = 0.0844619274139404296875 scenario cost: 79662.554013134140404872596263885498046875 Optimization Status: 2 scenario cost: 79662.554013134140404872596263885498046875 optimization time for scenario: 24 = 0.050601959228515625 scenario cost: 97143.27026680091512389481067657470703125 Optimization Status: 2 scenario cost: 97143.27026680091512389481067657470703125 optimization time for scenario: 25 = 0.0475978851318359375 scenario cost: 86017.094924778371932916343212127685546875 Optimization Status: 2 scenario cost: 86017.094924778371932916343212127685546875 optimization time for scenario: 26 = 0.0498039722442626953125 scenario cost: 90148.642992712339037097990512847900390625 Optimization Status: 2 scenario cost: 90148.642992712339037097990512847900390625 optimization time for scenario: 27 = 0.049314022064208984375 scenario cost: 102273.37383134776609949767589569091796875 Optimization Status: 2 scenario cost: 102273.37383134776609949767589569091796875 optimization time for scenario: 28 = 0.0459959506988525390625 scenario cost: 93222.74523936069454066455364227294921875 Optimization Status: 2 scenario cost: 93222.74523936069454066455364227294921875 optimization time for scenario: 29 = 0.04767608642578125 scenario cost: 122716.79874391225166618824005126953125 Optimization Status: 2 scenario cost: 122716.79874391225166618824005126953125 optimization time for scenario: 30 = 0.047175884246826171875 scenario cost: 99468.25686150163528509438037872314453125 Optimization Status: 2 scenario cost: 99468.25686150163528509438037872314453125 optimization time for scenario: 31 = 0.0952351093292236328125 scenario cost: 111970.528992764229769818484783172607421875 Optimization Status: 2 scenario cost: 111970.528992764229769818484783172607421875 optimization time for scenario: 32 = 0.0982859134674072265625 scenario cost: 105683.171180198361980728805065155029296875 Optimization Status: 2 scenario cost: 105683.171180198361980728805065155029296875 optimization time for scenario: 33 = 0.096624851226806640625 scenario cost: 107622.23111993321799673140048980712890625 Optimization Status: 2 scenario cost: 107622.23111993321799673140048980712890625 optimization time for scenario: 34 = 0.0594580173492431640625 scenario cost: 99503.351897933185682632029056549072265625 Optimization Status: 2 scenario cost: 99503.351897933185682632029056549072265625 optimization time for scenario: 35 = 0.0470769405364990234375 scenario cost: 84993.142954726354219019412994384765625 Optimization Status: 2 scenario cost: 84993.142954726354219019412994384765625 optimization time for scenario: 36 = 0.0511119365692138671875 scenario cost: 94143.678666920153773389756679534912109375 Optimization Status: 2 scenario cost: 94143.678666920153773389756679534912109375 optimization time for scenario: 37 = 0.0474090576171875 scenario cost: 103014.731808806580374948680400848388671875 Optimization Status: 2 scenario cost: 103014.731808806580374948680400848388671875 optimization time for scenario: 38 = 0.048553943634033203125 scenario cost: 92554.970882773472112603485584259033203125 Optimization Status: 2 scenario cost: 92554.970882773472112603485584259033203125 optimization time for scenario: 39 = 0.0468881130218505859375 Sending cuts of back to the stg 1 solver Objective Value 16126.773347691270828363485634326934814453125 memory usage: 112220712 received node: gen cut: Rental Cost 0 scenario cost: 85090.422312088208855129778385162353515625 Optimization Status: 2 scenario cost: 85090.422312088208855129778385162353515625 optimization time for scenario: 80 = 0.1026980876922607421875 scenario cost: 101758.841043266744236461818218231201171875 Optimization Status: 2 scenario cost: 101758.841043266744236461818218231201171875 optimization time for scenario: 81 = 0.10468006134033203125 scenario cost: 81507.2953079506405629217624664306640625 Optimization Status: 2 scenario cost: 81507.2953079506405629217624664306640625 optimization time for scenario: 82 = 0.0933220386505126953125 scenario cost: 94812.41720448093838058412075042724609375 Optimization Status: 2 scenario cost: 94812.41720448093838058412075042724609375 optimization time for scenario: 83 = 0.1068980693817138671875 scenario cost: 87621.8414283715537749230861663818359375 Optimization Status: 2 scenario cost: 87621.8414283715537749230861663818359375 optimization time for scenario: 84 = 0.1158478260040283203125 scenario cost: 91619.482941537644364871084690093994140625 Optimization Status: 2 scenario cost: 91619.482941537644364871084690093994140625 optimization time for scenario: 85 = 0.107019901275634765625 scenario cost: 99278.024653506567119620740413665771484375 Optimization Status: 2 scenario cost: 99278.024653506567119620740413665771484375 optimization time for scenario: 86 = 0.09982395172119140625 scenario cost: 84407.117760902619920670986175537109375 Optimization Status: 2 scenario cost: 84407.117760902619920670986175537109375 optimization time for scenario: 87 = 0.1079761981964111328125 scenario cost: 81848.5404624729417264461517333984375 Optimization Status: 2 scenario cost: 81848.5404624729417264461517333984375 optimization time for scenario: 88 = 0.1018397808074951171875 scenario cost: 84654.760352619763580150902271270751953125 Optimization Status: 2 scenario cost: 84654.760352619763580150902271270751953125 optimization time for scenario: 89 = 0.0992171764373779296875 scenario cost: 93725.6815039155189879238605499267578125 Optimization Status: 2 scenario cost: 93725.6815039155189879238605499267578125 optimization time for scenario: 90 = 0.0997269153594970703125 scenario cost: 90167.85230640685767866671085357666015625 Optimization Status: 2 scenario cost: 90167.85230640685767866671085357666015625 optimization time for scenario: 91 = 0.0741050243377685546875 scenario cost: 88737.630605943020782433450222015380859375 Optimization Status: 2 scenario cost: 88737.630605943020782433450222015380859375 optimization time for scenario: 92 = 0.0497720241546630859375 scenario cost: 105123.5221761287539266049861907958984375 Optimization Status: 2 scenario cost: 105123.5221761287539266049861907958984375 optimization time for scenario: 93 = 0.048838138580322265625 scenario cost: 93785.699635020457208156585693359375 Optimization Status: 2 scenario cost: 93785.699635020457208156585693359375 optimization time for scenario: 94 = 0.0560929775238037109375 scenario cost: 91856.69260000702342949807643890380859375 Optimization Status: 2 scenario cost: 91856.69260000702342949807643890380859375 optimization time for scenario: 95 = 0.04990291595458984375 scenario cost: 87057.19464087716187350451946258544921875 Optimization Status: 2 scenario cost: 87057.19464087716187350451946258544921875 optimization time for scenario: 96 = 0.0503108501434326171875 scenario cost: 91573.098905985491001047194004058837890625 Optimization Status: 2 scenario cost: 91573.098905985491001047194004058837890625 optimization time for scenario: 97 = 0.032887935638427734375 scenario cost: 95041.598640382973826490342617034912109375 Optimization Status: 2 scenario cost: 95041.598640382973826490342617034912109375 optimization time for scenario: 98 = 0.0304090976715087890625 scenario cost: 95789.851073495592572726309299468994140625 Optimization Status: 2 scenario cost: 95789.851073495592572726309299468994140625 optimization time for scenario: 99 = 0.031116008758544921875 Sending cuts of back to the stg 1 solver Objective Value 15212.08553104248494491912424564361572265625 memory usage: 112222232 received node: gen cut: Rental Cost 0 scenario cost: 88081.4559740508557297289371490478515625 Optimization Status: 2 scenario cost: 88081.4559740508557297289371490478515625 optimization time for scenario: 40 = 0.1268670558929443359375 scenario cost: 104332.871125179342925548553466796875 Optimization Status: 2 scenario cost: 104332.871125179342925548553466796875 optimization time for scenario: 41 = 0.112843036651611328125 scenario cost: 92087.570144985002116300165653228759765625 Optimization Status: 2 scenario cost: 92087.570144985002116300165653228759765625 optimization time for scenario: 42 = 0.122615814208984375 scenario cost: 85714.8308641540934331715106964111328125 Optimization Status: 2 scenario cost: 85714.8308641540934331715106964111328125 optimization time for scenario: 43 = 0.0732288360595703125 scenario cost: 109217.97491031806566752493381500244140625 Optimization Status: 2 scenario cost: 109217.97491031806566752493381500244140625 optimization time for scenario: 44 = 0.052260875701904296875 scenario cost: 89577.871355222989222966134548187255859375 Optimization Status: 2 scenario cost: 89577.871355222989222966134548187255859375 optimization time for scenario: 45 = 0.053184986114501953125 scenario cost: 91777.947008272414677776396274566650390625 Optimization Status: 2 scenario cost: 91777.947008272414677776396274566650390625 optimization time for scenario: 46 = 0.051898956298828125 scenario cost: 103969.48972139344550669193267822265625 Optimization Status: 2 scenario cost: 103969.48972139344550669193267822265625 optimization time for scenario: 47 = 0.0578289031982421875 scenario cost: 98623.6144975789939053356647491455078125 Optimization Status: 2 scenario cost: 98623.6144975789939053356647491455078125 optimization time for scenario: 48 = 0.0709249973297119140625 scenario cost: 92573.35237374113057740032672882080078125 Optimization Status: 2 scenario cost: 92573.35237374113057740032672882080078125 optimization time for scenario: 49 = 0.11093616485595703125 scenario cost: 78190.364626419366686604917049407958984375 Optimization Status: 2 scenario cost: 78190.364626419366686604917049407958984375 optimization time for scenario: 50 = 0.10601711273193359375 scenario cost: 113441.41084673666046001017093658447265625 Optimization Status: 2 scenario cost: 113441.41084673666046001017093658447265625 optimization time for scenario: 51 = 0.07322597503662109375 scenario cost: 85438.356718405280844308435916900634765625 Optimization Status: 2 scenario cost: 85438.356718405280844308435916900634765625 optimization time for scenario: 52 = 0.055355072021484375 scenario cost: 81606.5418134555802680552005767822265625 Optimization Status: 2 scenario cost: 81606.5418134555802680552005767822265625 optimization time for scenario: 53 = 0.056951045989990234375 scenario cost: 80168.6872738587553612887859344482421875 Optimization Status: 2 scenario cost: 80168.6872738587553612887859344482421875 optimization time for scenario: 54 = 0.0559270381927490234375 scenario cost: 84475.7330032537574879825115203857421875 Optimization Status: 2 scenario cost: 84475.7330032537574879825115203857421875 optimization time for scenario: 55 = 0.1088850498199462890625 scenario cost: 90601.082879390058224089443683624267578125 Optimization Status: 2 scenario cost: 90601.082879390058224089443683624267578125 optimization time for scenario: 56 = 0.1198260784149169921875 scenario cost: 93936.816940530785359442234039306640625 Optimization Status: 2 scenario cost: 93936.816940530785359442234039306640625 optimization time for scenario: 57 = 0.09397792816162109375 scenario cost: 94636.98627630490227602422237396240234375 Optimization Status: 2 scenario cost: 94636.98627630490227602422237396240234375 optimization time for scenario: 58 = 0.050323963165283203125 scenario cost: 102463.628988998345448635518550872802734375 Optimization Status: 2 scenario cost: 102463.628988998345448635518550872802734375 optimization time for scenario: 59 = 0.0474040508270263671875 Sending cuts of back to the stg 1 solver Objective Value 15507.5761972991676884703338146209716796875 memory usage: 112223752 received node: gen cut: Rental Cost 0 scenario cost: 90046.43826242789509706199169158935546875 Optimization Status: 2 scenario cost: 90046.43826242789509706199169158935546875 optimization time for scenario: 40 = 0.09990406036376953125 scenario cost: 106282.24405532679520547389984130859375 Optimization Status: 2 scenario cost: 106282.24405532679520547389984130859375 optimization time for scenario: 41 = 0.10811901092529296875 scenario cost: 94025.87143382822978310286998748779296875 Optimization Status: 2 scenario cost: 94025.87143382822978310286998748779296875 optimization time for scenario: 42 = 0.1136481761932373046875 scenario cost: 88328.267778951514628715813159942626953125 Optimization Status: 2 scenario cost: 88328.267778951514628715813159942626953125 optimization time for scenario: 43 = 0.0942928791046142578125 scenario cost: 111421.849253849009983241558074951171875 Optimization Status: 2 scenario cost: 111421.849253849009983241558074951171875 optimization time for scenario: 44 = 0.112120151519775390625 scenario cost: 91616.133883292481186799705028533935546875 Optimization Status: 2 scenario cost: 91616.133883292481186799705028533935546875 optimization time for scenario: 45 = 0.11392307281494140625 scenario cost: 94726.98918317162315361201763153076171875 Optimization Status: 2 scenario cost: 94726.98918317162315361201763153076171875 optimization time for scenario: 46 = 0.1340968608856201171875 scenario cost: 106353.759969205726520158350467681884765625 Optimization Status: 2 scenario cost: 106353.759969205726520158350467681884765625 optimization time for scenario: 47 = 0.1627080440521240234375 scenario cost: 100376.283126485810498706996440887451171875 Optimization Status: 2 scenario cost: 100376.283126485810498706996440887451171875 optimization time for scenario: 48 = 0.1490299701690673828125 scenario cost: 94660.877409789667581208050251007080078125 Optimization Status: 2 scenario cost: 94660.877409789667581208050251007080078125 optimization time for scenario: 49 = 0.096498012542724609375 scenario cost: 80126.327101950810174457728862762451171875 Optimization Status: 2 scenario cost: 80126.327101950810174457728862762451171875 optimization time for scenario: 50 = 0.1148049831390380859375 scenario cost: 116168.928768910976941697299480438232421875 Optimization Status: 2 scenario cost: 116168.928768910976941697299480438232421875 optimization time for scenario: 51 = 0.1208178997039794921875 scenario cost: 87085.128899294868460856378078460693359375 Optimization Status: 2 scenario cost: 87085.128899294868460856378078460693359375 optimization time for scenario: 52 = 0.0503718852996826171875 scenario cost: 83442.9536187837948091328144073486328125 Optimization Status: 2 scenario cost: 83442.9536187837948091328144073486328125 optimization time for scenario: 53 = 0.034742832183837890625 scenario cost: 82322.43665853500715456902980804443359375 Optimization Status: 2 scenario cost: 82322.43665853500715456902980804443359375 optimization time for scenario: 54 = 0.034275054931640625 scenario cost: 87272.65984493689029477536678314208984375 Optimization Status: 2 scenario cost: 87272.65984493689029477536678314208984375 optimization time for scenario: 55 = 0.0328648090362548828125 scenario cost: 92756.5173050185549072921276092529296875 Optimization Status: 2 scenario cost: 92756.5173050185549072921276092529296875 optimization time for scenario: 56 = 0.0315258502960205078125 scenario cost: 96172.940572152481763623654842376708984375 Optimization Status: 2 scenario cost: 96172.940572152481763623654842376708984375 optimization time for scenario: 57 = 0.0316531658172607421875 scenario cost: 97042.109909081525984220206737518310546875 Optimization Status: 2 scenario cost: 97042.109909081525984220206737518310546875 optimization time for scenario: 58 = 0.0288600921630859375 scenario cost: 104333.7768629764323122799396514892578125 Optimization Status: 2 scenario cost: 104333.7768629764323122799396514892578125 optimization time for scenario: 59 = 0.029614925384521484375 Sending cuts of back to the stg 1 solver Objective Value 15871.29063039995162398554384708404541015625 memory usage: 112225272 received node: gen cut: Rental Cost 0 scenario cost: 103127.5687223969143815338611602783203125 Optimization Status: 2 scenario cost: 103127.5687223969143815338611602783203125 optimization time for scenario: 100 = 0.0508611202239990234375 scenario cost: 107810.1126009723520837724208831787109375 Optimization Status: 2 scenario cost: 107810.1126009723520837724208831787109375 optimization time for scenario: 101 = 0.0531060695648193359375 scenario cost: 86835.771878099651075899600982666015625 Optimization Status: 2 scenario cost: 86835.771878099651075899600982666015625 optimization time for scenario: 102 = 0.082057952880859375 scenario cost: 93458.1770734089077450335025787353515625 Optimization Status: 2 scenario cost: 93458.1770734089077450335025787353515625 optimization time for scenario: 103 = 0.1240651607513427734375 scenario cost: 89808.746697711685555987060070037841796875 Optimization Status: 2 scenario cost: 89808.746697711685555987060070037841796875 optimization time for scenario: 104 = 0.1158659458160400390625 scenario cost: 103171.635776723778690211474895477294921875 Optimization Status: 2 scenario cost: 103171.635776723778690211474895477294921875 optimization time for scenario: 105 = 0.0996711254119873046875 scenario cost: 82728.850356836672290228307247161865234375 Optimization Status: 2 scenario cost: 82728.850356836672290228307247161865234375 optimization time for scenario: 106 = 0.1140270233154296875 scenario cost: 97305.46255867331638000905513763427734375 Optimization Status: 2 scenario cost: 97305.46255867331638000905513763427734375 optimization time for scenario: 107 = 0.0997159481048583984375 scenario cost: 110542.33946338584064505994319915771484375 Optimization Status: 2 scenario cost: 110542.33946338584064505994319915771484375 optimization time for scenario: 108 = 0.1132619380950927734375 scenario cost: 96069.41707851775572635233402252197265625 Optimization Status: 2 scenario cost: 96069.41707851775572635233402252197265625 optimization time for scenario: 109 = 0.1153018474578857421875 scenario cost: 93729.73574516034568659961223602294921875 Optimization Status: 2 scenario cost: 93729.73574516034568659961223602294921875 optimization time for scenario: 110 = 0.100678920745849609375 scenario cost: 95746.455067636838066391646862030029296875 Optimization Status: 2 scenario cost: 95746.455067636838066391646862030029296875 optimization time for scenario: 111 = 0.1285541057586669921875 scenario cost: 88859.446503822910017333924770355224609375 Optimization Status: 2 scenario cost: 88859.446503822910017333924770355224609375 optimization time for scenario: 112 = 0.09836101531982421875 scenario cost: 102011.4286475501139648258686065673828125 Optimization Status: 2 scenario cost: 102011.4286475501139648258686065673828125 optimization time for scenario: 113 = 0.05517101287841796875 scenario cost: 86498.750857924926094710826873779296875 Optimization Status: 2 scenario cost: 86498.750857924926094710826873779296875 optimization time for scenario: 114 = 0.05601787567138671875 scenario cost: 89812.99796234615496359765529632568359375 Optimization Status: 2 scenario cost: 89812.99796234615496359765529632568359375 optimization time for scenario: 115 = 0.05072116851806640625 scenario cost: 96634.273707194181042723357677459716796875 Optimization Status: 2 scenario cost: 96634.273707194181042723357677459716796875 optimization time for scenario: 116 = 0.04940700531005859375 scenario cost: 92037.354548786883242428302764892578125 Optimization Status: 2 scenario cost: 92037.354548786883242428302764892578125 optimization time for scenario: 117 = 0.051561832427978515625 scenario cost: 90920.080354876627097837626934051513671875 Optimization Status: 2 scenario cost: 90920.080354876627097837626934051513671875 optimization time for scenario: 118 = 0.0505511760711669921875 scenario cost: 88319.81960877359961159527301788330078125 Optimization Status: 2 scenario cost: 88319.81960877359961159527301788330078125 optimization time for scenario: 119 = 0.04312801361083984375 Sending cuts of back to the stg 1 solver Objective Value 15795.173695809158743941225111484527587890625 memory usage: 112226632 received node: gen cut: Rental Cost 0 scenario cost: 85150.9442285533878020942211151123046875 Optimization Status: 2 scenario cost: 85150.9442285533878020942211151123046875 optimization time for scenario: 40 = 0.073890209197998046875 scenario cost: 101226.62165126178297214210033416748046875 Optimization Status: 2 scenario cost: 101226.62165126178297214210033416748046875 optimization time for scenario: 41 = 0.1079959869384765625 scenario cost: 88930.221009340006276033818721771240234375 Optimization Status: 2 scenario cost: 88930.221009340006276033818721771240234375 optimization time for scenario: 42 = 0.116033077239990234375 scenario cost: 82600.5295141714741475880146026611328125 Optimization Status: 2 scenario cost: 82600.5295141714741475880146026611328125 optimization time for scenario: 43 = 0.1301479339599609375 scenario cost: 106292.37692965599126182496547698974609375 Optimization Status: 2 scenario cost: 106292.37692965599126182496547698974609375 optimization time for scenario: 44 = 0.1124210357666015625 scenario cost: 86541.843957753982977010309696197509765625 Optimization Status: 2 scenario cost: 86541.843957753982977010309696197509765625 optimization time for scenario: 45 = 0.117700099945068359375 scenario cost: 88692.826271825339063070714473724365234375 Optimization Status: 2 scenario cost: 88692.826271825339063070714473724365234375 optimization time for scenario: 46 = 0.1076080799102783203125 scenario cost: 101142.774413898630882613360881805419921875 Optimization Status: 2 scenario cost: 101142.774413898630882613360881805419921875 optimization time for scenario: 47 = 0.1356790065765380859375 scenario cost: 95542.9334406246780417859554290771484375 Optimization Status: 2 scenario cost: 95542.9334406246780417859554290771484375 optimization time for scenario: 48 = 0.117536067962646484375 scenario cost: 89578.24393471758230589330196380615234375 Optimization Status: 2 scenario cost: 89578.24393471758230589330196380615234375 optimization time for scenario: 49 = 0.116158008575439453125 scenario cost: 75195.433060133145772852003574371337890625 Optimization Status: 2 scenario cost: 75195.433060133145772852003574371337890625 optimization time for scenario: 50 = 0.103084087371826171875 scenario cost: 110624.340779705016757361590862274169921875 Optimization Status: 2 scenario cost: 110624.340779705016757361590862274169921875 optimization time for scenario: 51 = 0.0827000141143798828125 scenario cost: 82356.993792448236490599811077117919921875 Optimization Status: 2 scenario cost: 82356.993792448236490599811077117919921875 optimization time for scenario: 52 = 0.05900287628173828125 scenario cost: 78570.212207583957933820784091949462890625 Optimization Status: 2 scenario cost: 78570.212207583957933820784091949462890625 optimization time for scenario: 53 = 0.0571858882904052734375 scenario cost: 77045.03680337735568173229694366455078125 Optimization Status: 2 scenario cost: 77045.03680337735568173229694366455078125 optimization time for scenario: 54 = 0.0522348880767822265625 scenario cost: 81674.8013299450394697487354278564453125 Optimization Status: 2 scenario cost: 81674.8013299450394697487354278564453125 optimization time for scenario: 55 = 0.0526978969573974609375 scenario cost: 87552.500460027382359839975833892822265625 Optimization Status: 2 scenario cost: 87552.500460027382359839975833892822265625 optimization time for scenario: 56 = 0.053801059722900390625 scenario cost: 90925.081456110332510434091091156005859375 Optimization Status: 2 scenario cost: 90925.081456110332510434091091156005859375 optimization time for scenario: 57 = 0.05508899688720703125 scenario cost: 91639.28013551721232943236827850341796875 Optimization Status: 2 scenario cost: 91639.28013551721232943236827850341796875 optimization time for scenario: 58 = 0.0558011531829833984375 scenario cost: 99506.998258543884730897843837738037109375 Optimization Status: 2 scenario cost: 99506.998258543884730897843837738037109375 optimization time for scenario: 59 = 0.0520579814910888671875 Sending cuts of back to the stg 1 solver Objective Value 15006.523253960165675380267202854156494140625 memory usage: 112228312 received node: gen cut: Rental Cost 0 scenario cost: 82304.0079983077594079077243804931640625 Optimization Status: 2 scenario cost: 82304.0079983077594079077243804931640625 optimization time for scenario: 0 = 0.1022961139678955078125 scenario cost: 88533.943191582453437149524688720703125 Optimization Status: 2 scenario cost: 88533.943191582453437149524688720703125 optimization time for scenario: 1 = 0.111340999603271484375 scenario cost: 92981.674452379389549605548381805419921875 Optimization Status: 2 scenario cost: 92981.674452379389549605548381805419921875 optimization time for scenario: 2 = 0.1022999286651611328125 scenario cost: 93268.46252293713041581213474273681640625 Optimization Status: 2 scenario cost: 93268.46252293713041581213474273681640625 optimization time for scenario: 3 = 0.1132318973541259765625 scenario cost: 99743.482295272595365531742572784423828125 Optimization Status: 2 scenario cost: 99743.482295272595365531742572784423828125 optimization time for scenario: 4 = 0.065392017364501953125 scenario cost: 103637.04298945344635285437107086181640625 Optimization Status: 2 scenario cost: 103637.04298945344635285437107086181640625 optimization time for scenario: 5 = 0.0544459819793701171875 scenario cost: 89595.284616786040714941918849945068359375 Optimization Status: 2 scenario cost: 89595.284616786040714941918849945068359375 optimization time for scenario: 6 = 0.0550010204315185546875 scenario cost: 90085.091127268038690090179443359375 Optimization Status: 2 scenario cost: 90085.091127268038690090179443359375 optimization time for scenario: 7 = 0.0551059246063232421875 scenario cost: 82300.73953681575949303805828094482421875 Optimization Status: 2 scenario cost: 82300.73953681575949303805828094482421875 optimization time for scenario: 8 = 0.055757045745849609375 scenario cost: 99986.561046390983392484486103057861328125 Optimization Status: 2 scenario cost: 99986.561046390983392484486103057861328125 optimization time for scenario: 9 = 0.0522940158843994140625 scenario cost: 90471.177338789610075764358043670654296875 Optimization Status: 2 scenario cost: 90471.177338789610075764358043670654296875 optimization time for scenario: 10 = 0.0529320240020751953125 scenario cost: 76569.292529432379524223506450653076171875 Optimization Status: 2 scenario cost: 76569.292529432379524223506450653076171875 optimization time for scenario: 11 = 0.052651882171630859375 scenario cost: 95431.603558911549043841660022735595703125 Optimization Status: 2 scenario cost: 95431.603558911549043841660022735595703125 optimization time for scenario: 12 = 0.0488579273223876953125 scenario cost: 91498.785524220569641329348087310791015625 Optimization Status: 2 scenario cost: 91498.785524220569641329348087310791015625 optimization time for scenario: 13 = 0.054585933685302734375 scenario cost: 91038.8397533358074724674224853515625 Optimization Status: 2 scenario cost: 91038.8397533358074724674224853515625 optimization time for scenario: 14 = 0.0506420135498046875 scenario cost: 104464.4269300513551570475101470947265625 Optimization Status: 2 scenario cost: 104464.4269300513551570475101470947265625 optimization time for scenario: 15 = 0.0552909374237060546875 scenario cost: 88871.02965272331493906676769256591796875 Optimization Status: 2 scenario cost: 88871.02965272331493906676769256591796875 optimization time for scenario: 16 = 0.083652019500732421875 scenario cost: 86190.111177196653443388640880584716796875 Optimization Status: 2 scenario cost: 86190.111177196653443388640880584716796875 optimization time for scenario: 17 = 0.076096057891845703125 scenario cost: 105840.23359230466303415596485137939453125 Optimization Status: 2 scenario cost: 105840.23359230466303415596485137939453125 optimization time for scenario: 18 = 0.0603058338165283203125 scenario cost: 91109.986411830221186392009258270263671875 Optimization Status: 2 scenario cost: 91109.986411830221186392009258270263671875 optimization time for scenario: 19 = 0.0607459545135498046875 Sending cuts of back to the stg 1 solver Objective Value 15365.953337990706131677143275737762451171875 memory usage: 112229832 received node: gen cut: Rental Cost 0 scenario cost: 90189.45571550904423929750919342041015625 Optimization Status: 2 scenario cost: 90189.45571550904423929750919342041015625 optimization time for scenario: 20 = 0.0825550556182861328125 scenario cost: 79820.413403137950808741152286529541015625 Optimization Status: 2 scenario cost: 79820.413403137950808741152286529541015625 optimization time for scenario: 21 = 0.14476108551025390625 scenario cost: 80317.5843423833721317350864410400390625 Optimization Status: 2 scenario cost: 80317.5843423833721317350864410400390625 optimization time for scenario: 22 = 0.1393010616302490234375 scenario cost: 89214.69103733260999433696269989013671875 Optimization Status: 2 scenario cost: 89214.69103733260999433696269989013671875 optimization time for scenario: 23 = 0.05824184417724609375 scenario cost: 73843.149670764585607685148715972900390625 Optimization Status: 2 scenario cost: 73843.149670764585607685148715972900390625 optimization time for scenario: 24 = 0.056601047515869140625 scenario cost: 89962.408009451508405618369579315185546875 Optimization Status: 2 scenario cost: 89962.408009451508405618369579315185546875 optimization time for scenario: 25 = 0.059772014617919921875 scenario cost: 80296.16599796255468390882015228271484375 Optimization Status: 2 scenario cost: 80296.16599796255468390882015228271484375 optimization time for scenario: 26 = 0.0598380565643310546875 scenario cost: 83138.74160658358596265316009521484375 Optimization Status: 2 scenario cost: 83138.74160658358596265316009521484375 optimization time for scenario: 27 = 0.0560739040374755859375 scenario cost: 95035.16919431244605220854282379150390625 Optimization Status: 2 scenario cost: 95035.16919431244605220854282379150390625 optimization time for scenario: 28 = 0.053967952728271484375 scenario cost: 86264.525310640499810688197612762451171875 Optimization Status: 2 scenario cost: 86264.525310640499810688197612762451171875 optimization time for scenario: 29 = 0.0540969371795654296875 scenario cost: 113524.578629469280713237822055816650390625 Optimization Status: 2 scenario cost: 113524.578629469280713237822055816650390625 optimization time for scenario: 30 = 0.0544979572296142578125 scenario cost: 91974.537477053483598865568637847900390625 Optimization Status: 2 scenario cost: 91974.537477053483598865568637847900390625 optimization time for scenario: 31 = 0.1178638935089111328125 scenario cost: 103827.527067592003731988370418548583984375 Optimization Status: 2 scenario cost: 103827.527067592003731988370418548583984375 optimization time for scenario: 32 = 0.10812282562255859375 scenario cost: 98583.774206464513554237782955169677734375 Optimization Status: 2 scenario cost: 98583.774206464513554237782955169677734375 optimization time for scenario: 33 = 0.0941829681396484375 scenario cost: 98893.642728003076626919209957122802734375 Optimization Status: 2 scenario cost: 98893.642728003076626919209957122802734375 optimization time for scenario: 34 = 0.05796909332275390625 scenario cost: 92753.431020911652012728154659271240234375 Optimization Status: 2 scenario cost: 92753.431020911652012728154659271240234375 optimization time for scenario: 35 = 0.0655930042266845703125 scenario cost: 78013.0773745762999169528484344482421875 Optimization Status: 2 scenario cost: 78013.0773745762999169528484344482421875 optimization time for scenario: 36 = 0.061048984527587890625 scenario cost: 87135.96262751452741213142871856689453125 Optimization Status: 2 scenario cost: 87135.96262751452741213142871856689453125 optimization time for scenario: 37 = 0.0593039989471435546875 scenario cost: 95931.834784355931333266198635101318359375 Optimization Status: 2 scenario cost: 95931.834784355931333266198635101318359375 optimization time for scenario: 38 = 0.06007289886474609375 scenario cost: 85757.551839230451150797307491302490234375 Optimization Status: 2 scenario cost: 85757.551839230451150797307491302490234375 optimization time for scenario: 39 = 0.06093502044677734375 Sending cuts of back to the stg 1 solver Objective Value 14953.9253677530141430906951427459716796875 memory usage: 112231352 received node: gen cut: Rental Cost 0 scenario cost: 98796.883939298117184080183506011962890625 Optimization Status: 2 scenario cost: 98796.883939298117184080183506011962890625 optimization time for scenario: 60 = 0.050056934356689453125 scenario cost: 81608.467994010090478695929050445556640625 Optimization Status: 2 scenario cost: 81608.467994010090478695929050445556640625 optimization time for scenario: 61 = 0.0454170703887939453125 scenario cost: 83714.6078811743645928800106048583984375 Optimization Status: 2 scenario cost: 83714.6078811743645928800106048583984375 optimization time for scenario: 62 = 0.047876834869384765625 scenario cost: 84451.346316717565059661865234375 Optimization Status: 2 scenario cost: 84451.346316717565059661865234375 optimization time for scenario: 63 = 0.047068119049072265625 scenario cost: 98902.074612680837162770330905914306640625 Optimization Status: 2 scenario cost: 98902.074612680837162770330905914306640625 optimization time for scenario: 64 = 0.04864501953125 scenario cost: 100414.7433041763142682611942291259765625 Optimization Status: 2 scenario cost: 100414.7433041763142682611942291259765625 optimization time for scenario: 65 = 0.0467319488525390625 scenario cost: 92003.077051193453371524810791015625 Optimization Status: 2 scenario cost: 92003.077051193453371524810791015625 optimization time for scenario: 66 = 0.0453240871429443359375 scenario cost: 84583.76000335617573000490665435791015625 Optimization Status: 2 scenario cost: 84583.76000335617573000490665435791015625 optimization time for scenario: 67 = 0.046944141387939453125 scenario cost: 85231.36480291397310793399810791015625 Optimization Status: 2 scenario cost: 85231.36480291397310793399810791015625 optimization time for scenario: 68 = 0.0464470386505126953125 scenario cost: 88531.701933108663070015609264373779296875 Optimization Status: 2 scenario cost: 88531.701933108663070015609264373779296875 optimization time for scenario: 69 = 0.0491130352020263671875 scenario cost: 81075.2955368327093310654163360595703125 Optimization Status: 2 scenario cost: 81075.2955368327093310654163360595703125 optimization time for scenario: 70 = 0.047770023345947265625 scenario cost: 103755.98064333861111663281917572021484375 Optimization Status: 2 scenario cost: 103755.98064333861111663281917572021484375 optimization time for scenario: 71 = 0.048056125640869140625 scenario cost: 98627.925842682874645106494426727294921875 Optimization Status: 2 scenario cost: 98627.925842682874645106494426727294921875 optimization time for scenario: 72 = 0.0466110706329345703125 scenario cost: 98934.20545631716959178447723388671875 Optimization Status: 2 scenario cost: 98934.20545631716959178447723388671875 optimization time for scenario: 73 = 0.048266887664794921875 scenario cost: 85169.783878505913889966905117034912109375 Optimization Status: 2 scenario cost: 85169.783878505913889966905117034912109375 optimization time for scenario: 74 = 0.044291973114013671875 scenario cost: 102150.9938233078573830425739288330078125 Optimization Status: 2 scenario cost: 102150.9938233078573830425739288330078125 optimization time for scenario: 75 = 0.0467040538787841796875 scenario cost: 91050.865751550605637021362781524658203125 Optimization Status: 2 scenario cost: 91050.865751550605637021362781524658203125 optimization time for scenario: 76 = 0.0459129810333251953125 scenario cost: 93039.9389778969925828278064727783203125 Optimization Status: 2 scenario cost: 93039.9389778969925828278064727783203125 optimization time for scenario: 77 = 0.0470578670501708984375 scenario cost: 89898.517976032904698513448238372802734375 Optimization Status: 2 scenario cost: 89898.517976032904698513448238372802734375 optimization time for scenario: 78 = 0.0446021556854248046875 scenario cost: 86623.61586846309364773333072662353515625 Optimization Status: 2 scenario cost: 86623.61586846309364773333072662353515625 optimization time for scenario: 79 = 0.047605991363525390625 Sending cuts of back to the stg 1 solver Objective Value 15237.98197777459790813736617565155029296875 memory usage: 112232712 received node: gen cut: Rental Cost 0 scenario cost: 97144.569675806691520847380161285400390625 Optimization Status: 2 scenario cost: 97144.569675806691520847380161285400390625 optimization time for scenario: 60 = 0.0829551219940185546875 scenario cost: 80693.361879785792552866041660308837890625 Optimization Status: 2 scenario cost: 80693.361879785792552866041660308837890625 optimization time for scenario: 61 = 0.05306720733642578125 scenario cost: 82423.469473590143024921417236328125 Optimization Status: 2 scenario cost: 82423.469473590143024921417236328125 optimization time for scenario: 62 = 0.0514562129974365234375 scenario cost: 83061.83063794454210437834262847900390625 Optimization Status: 2 scenario cost: 83061.83063794454210437834262847900390625 optimization time for scenario: 63 = 0.05370616912841796875 scenario cost: 98045.70207589914207346737384796142578125 Optimization Status: 2 scenario cost: 98045.70207589914207346737384796142578125 optimization time for scenario: 64 = 0.055946826934814453125 scenario cost: 99174.80878926822333596646785736083984375 Optimization Status: 2 scenario cost: 99174.80878926822333596646785736083984375 optimization time for scenario: 65 = 0.0586841106414794921875 scenario cost: 90457.54687467194162309169769287109375 Optimization Status: 2 scenario cost: 90457.54687467194162309169769287109375 optimization time for scenario: 66 = 0.05323696136474609375 scenario cost: 83528.620304623662377707660198211669921875 Optimization Status: 2 scenario cost: 83528.620304623662377707660198211669921875 optimization time for scenario: 67 = 0.05476093292236328125 scenario cost: 83658.9579814971075393259525299072265625 Optimization Status: 2 scenario cost: 83658.9579814971075393259525299072265625 optimization time for scenario: 68 = 0.056893825531005859375 scenario cost: 87745.097973430718411691486835479736328125 Optimization Status: 2 scenario cost: 87745.097973430718411691486835479736328125 optimization time for scenario: 69 = 0.0597019195556640625 scenario cost: 80268.572783570867613889276981353759765625 Optimization Status: 2 scenario cost: 80268.572783570867613889276981353759765625 optimization time for scenario: 70 = 0.1106669902801513671875 scenario cost: 102734.461088102820212952792644500732421875 Optimization Status: 2 scenario cost: 102734.461088102820212952792644500732421875 optimization time for scenario: 71 = 0.0933949947357177734375 scenario cost: 97093.72244967953884042799472808837890625 Optimization Status: 2 scenario cost: 97093.72244967953884042799472808837890625 optimization time for scenario: 72 = 0.1057159900665283203125 scenario cost: 97857.50356884844950400292873382568359375 Optimization Status: 2 scenario cost: 97857.50356884844950400292873382568359375 optimization time for scenario: 73 = 0.114777088165283203125 scenario cost: 84183.3520324149285443127155303955078125 Optimization Status: 2 scenario cost: 84183.3520324149285443127155303955078125 optimization time for scenario: 74 = 0.1063349246978759765625 scenario cost: 101112.500426808721385896205902099609375 Optimization Status: 2 scenario cost: 101112.500426808721385896205902099609375 optimization time for scenario: 75 = 0.0872859954833984375 scenario cost: 89680.5638908158871345221996307373046875 Optimization Status: 2 scenario cost: 89680.5638908158871345221996307373046875 optimization time for scenario: 76 = 0.0491859912872314453125 scenario cost: 92004.186555465290439315140247344970703125 Optimization Status: 2 scenario cost: 92004.186555465290439315140247344970703125 optimization time for scenario: 77 = 0.053448200225830078125 scenario cost: 88177.621706073012319393455982208251953125 Optimization Status: 2 scenario cost: 88177.621706073012319393455982208251953125 optimization time for scenario: 78 = 0.0498199462890625 scenario cost: 85135.437103237840346992015838623046875 Optimization Status: 2 scenario cost: 85135.437103237840346992015838623046875 optimization time for scenario: 79 = 0.0561101436614990234375 Sending cuts of back to the stg 1 solver Objective Value 15034.78892119988449849188327789306640625 memory usage: 112234392 received node: gen cut: Rental Cost 0 scenario cost: 101309.088222784004756249487400054931640625 Optimization Status: 2 scenario cost: 101309.088222784004756249487400054931640625 optimization time for scenario: 60 = 0.0856220722198486328125 scenario cost: 83712.56906394296674989163875579833984375 Optimization Status: 2 scenario cost: 83712.56906394296674989163875579833984375 optimization time for scenario: 61 = 0.1047689914703369140625 scenario cost: 85856.7467608436127193272113800048828125 Optimization Status: 2 scenario cost: 85856.7467608436127193272113800048828125 optimization time for scenario: 62 = 0.0946090221405029296875 scenario cost: 86473.01293036868446506559848785400390625 Optimization Status: 2 scenario cost: 86473.01293036868446506559848785400390625 optimization time for scenario: 63 = 0.097571849822998046875 scenario cost: 100866.141317510933731682598590850830078125 Optimization Status: 2 scenario cost: 100866.141317510933731682598590850830078125 optimization time for scenario: 64 = 0.09951496124267578125 scenario cost: 102350.611319972944329492747783660888671875 Optimization Status: 2 scenario cost: 102350.611319972944329492747783660888671875 optimization time for scenario: 65 = 0.0943338871002197265625 scenario cost: 94244.1913970985333435237407684326171875 Optimization Status: 2 scenario cost: 94244.1913970985333435237407684326171875 optimization time for scenario: 66 = 0.101543903350830078125 scenario cost: 86959.088181232407805509865283966064453125 Optimization Status: 2 scenario cost: 86959.088181232407805509865283966064453125 optimization time for scenario: 67 = 0.0814418792724609375 scenario cost: 87085.247095711456495337188243865966796875 Optimization Status: 2 scenario cost: 87085.247095711456495337188243865966796875 optimization time for scenario: 68 = 0.048635005950927734375 scenario cost: 90358.30267382654710672795772552490234375 Optimization Status: 2 scenario cost: 90358.30267382654710672795772552490234375 optimization time for scenario: 69 = 0.0488550662994384765625 scenario cost: 82531.08995364556903950870037078857421875 Optimization Status: 2 scenario cost: 82531.08995364556903950870037078857421875 optimization time for scenario: 70 = 0.047998905181884765625 scenario cost: 105862.5067108008661307394504547119140625 Optimization Status: 2 scenario cost: 105862.5067108008661307394504547119140625 optimization time for scenario: 71 = 0.0455930233001708984375 scenario cost: 100488.497060544425039552152156829833984375 Optimization Status: 2 scenario cost: 100488.497060544425039552152156829833984375 optimization time for scenario: 72 = 0.04631710052490234375 scenario cost: 101190.121854828248615376651287078857421875 Optimization Status: 2 scenario cost: 101190.121854828248615376651287078857421875 optimization time for scenario: 73 = 0.0443990230560302734375 scenario cost: 87260.790068767397315241396427154541015625 Optimization Status: 2 scenario cost: 87260.790068767397315241396427154541015625 optimization time for scenario: 74 = 0.0841770172119140625 scenario cost: 104358.837107282015495002269744873046875 Optimization Status: 2 scenario cost: 104358.837107282015495002269744873046875 optimization time for scenario: 75 = 0.0569059848785400390625 scenario cost: 92871.2170957588241435587406158447265625 Optimization Status: 2 scenario cost: 92871.2170957588241435587406158447265625 optimization time for scenario: 76 = 0.047235965728759765625 scenario cost: 95141.748137876929831691086292266845703125 Optimization Status: 2 scenario cost: 95141.748137876929831691086292266845703125 optimization time for scenario: 77 = 0.04771709442138671875 scenario cost: 91570.7077040181611664593219757080078125 Optimization Status: 2 scenario cost: 91570.7077040181611664593219757080078125 optimization time for scenario: 78 = 0.05082798004150390625 scenario cost: 88846.035878869224688969552516937255859375 Optimization Status: 2 scenario cost: 88846.035878869224688969552516937255859375 optimization time for scenario: 79 = 0.0483272075653076171875 Sending cuts of back to the stg 1 solver Objective Value 15577.742276579012468573637306690216064453125 memory usage: 112235912 received node: gen cut: Rental Cost 0 scenario cost: 87919.484056324887205846607685089111328125 Optimization Status: 2 scenario cost: 87919.484056324887205846607685089111328125 optimization time for scenario: 80 = 0.1350879669189453125 scenario cost: 104826.8417276164400391280651092529296875 Optimization Status: 2 scenario cost: 104826.8417276164400391280651092529296875 optimization time for scenario: 81 = 0.130917072296142578125 scenario cost: 84330.417862504473305307328701019287109375 Optimization Status: 2 scenario cost: 84330.417862504473305307328701019287109375 optimization time for scenario: 82 = 0.13481903076171875 scenario cost: 97530.164745550297084264457225799560546875 Optimization Status: 2 scenario cost: 97530.164745550297084264457225799560546875 optimization time for scenario: 83 = 0.1308219432830810546875 scenario cost: 89409.869671880544046871364116668701171875 Optimization Status: 2 scenario cost: 89409.869671880544046871364116668701171875 optimization time for scenario: 84 = 0.11676788330078125 scenario cost: 94493.336776347292470745742321014404296875 Optimization Status: 2 scenario cost: 94493.336776347292470745742321014404296875 optimization time for scenario: 85 = 0.1134250164031982421875 scenario cost: 102019.231045988170080818235874176025390625 Optimization Status: 2 scenario cost: 102019.231045988170080818235874176025390625 optimization time for scenario: 86 = 0.100776195526123046875 scenario cost: 86955.15757812940864823758602142333984375 Optimization Status: 2 scenario cost: 86955.15757812940864823758602142333984375 optimization time for scenario: 87 = 0.07816600799560546875 scenario cost: 84819.962636065189144574105739593505859375 Optimization Status: 2 scenario cost: 84819.962636065189144574105739593505859375 optimization time for scenario: 88 = 0.053475856781005859375 scenario cost: 86344.249199115831288509070873260498046875 Optimization Status: 2 scenario cost: 86344.249199115831288509070873260498046875 optimization time for scenario: 89 = 0.1148030757904052734375 scenario cost: 95339.34605399289284832775592803955078125 Optimization Status: 2 scenario cost: 95339.34605399289284832775592803955078125 optimization time for scenario: 90 = 0.1196630001068115234375 scenario cost: 93039.967186633395613171160221099853515625 Optimization Status: 2 scenario cost: 93039.967186633395613171160221099853515625 optimization time for scenario: 91 = 0.0981349945068359375 scenario cost: 91443.770800772239454090595245361328125 Optimization Status: 2 scenario cost: 91443.770800772239454090595245361328125 optimization time for scenario: 92 = 0.0563771724700927734375 scenario cost: 107928.42635349827469326555728912353515625 Optimization Status: 2 scenario cost: 107928.42635349827469326555728912353515625 optimization time for scenario: 93 = 0.0547771453857421875 scenario cost: 96522.118766660991241224110126495361328125 Optimization Status: 2 scenario cost: 96522.118766660991241224110126495361328125 optimization time for scenario: 94 = 0.0553829669952392578125 scenario cost: 94640.847717567739891819655895233154296875 Optimization Status: 2 scenario cost: 94640.847717567739891819655895233154296875 optimization time for scenario: 95 = 0.058094024658203125 scenario cost: 88854.03698197868652641773223876953125 Optimization Status: 2 scenario cost: 88854.03698197868652641773223876953125 optimization time for scenario: 96 = 0.054645061492919921875 scenario cost: 94512.15047854022122919559478759765625 Optimization Status: 2 scenario cost: 94512.15047854022122919559478759765625 optimization time for scenario: 97 = 0.047935009002685546875 scenario cost: 97916.859753707700292579829692840576171875 Optimization Status: 2 scenario cost: 97916.859753707700292579829692840576171875 optimization time for scenario: 98 = 0.042996883392333984375 scenario cost: 98643.833470805504475720226764678955078125 Optimization Status: 2 scenario cost: 98643.833470805504475720226764678955078125 optimization time for scenario: 99 = 0.03293704986572265625 Sending cuts of back to the stg 1 solver Objective Value 15645.68802419490748434327542781829833984375 memory usage: 112237432 received node: gen cut: Rental Cost 0 scenario cost: 94126.800424966684659011662006378173828125 Optimization Status: 2 scenario cost: 94126.800424966684659011662006378173828125 optimization time for scenario: 20 = 0.0840771198272705078125 scenario cost: 83657.946718410545145161449909210205078125 Optimization Status: 2 scenario cost: 83657.946718410545145161449909210205078125 optimization time for scenario: 21 = 0.0543439388275146484375 scenario cost: 83803.808041906406288035213947296142578125 Optimization Status: 2 scenario cost: 83803.808041906406288035213947296142578125 optimization time for scenario: 22 = 0.056582927703857421875 scenario cost: 92480.194141651751124300062656402587890625 Optimization Status: 2 scenario cost: 92480.194141651751124300062656402587890625 optimization time for scenario: 23 = 0.05449199676513671875 scenario cost: 77293.8309767359751276671886444091796875 Optimization Status: 2 scenario cost: 77293.8309767359751276671886444091796875 optimization time for scenario: 24 = 0.057671070098876953125 scenario cost: 94011.045705163516686297953128814697265625 Optimization Status: 2 scenario cost: 94011.045705163516686297953128814697265625 optimization time for scenario: 25 = 0.0531170368194580078125 scenario cost: 83600.5313605194096453487873077392578125 Optimization Status: 2 scenario cost: 83600.5313605194096453487873077392578125 optimization time for scenario: 26 = 0.1122767925262451171875 scenario cost: 87133.2940836166380904614925384521484375 Optimization Status: 2 scenario cost: 87133.2940836166380904614925384521484375 optimization time for scenario: 27 = 0.115950107574462890625 scenario cost: 99379.35268752821139059960842132568359375 Optimization Status: 2 scenario cost: 99379.35268752821139059960842132568359375 optimization time for scenario: 28 = 0.081387996673583984375 scenario cost: 90364.070952732363366521894931793212890625 Optimization Status: 2 scenario cost: 90364.070952732363366521894931793212890625 optimization time for scenario: 29 = 0.0535571575164794921875 scenario cost: 119138.556670956153539009392261505126953125 Optimization Status: 2 scenario cost: 119138.556670956153539009392261505126953125 optimization time for scenario: 30 = 0.0520579814910888671875 scenario cost: 95953.51911714984453283250331878662109375 Optimization Status: 2 scenario cost: 95953.51911714984453283250331878662109375 optimization time for scenario: 31 = 0.05430507659912109375 scenario cost: 108383.333626894615008495748043060302734375 Optimization Status: 2 scenario cost: 108383.333626894615008495748043060302734375 optimization time for scenario: 32 = 0.05757904052734375 scenario cost: 102751.9887577981571666896343231201171875 Optimization Status: 2 scenario cost: 102751.9887577981571666896343231201171875 optimization time for scenario: 33 = 0.05513095855712890625 scenario cost: 104158.675987312817596830427646636962890625 Optimization Status: 2 scenario cost: 104158.675987312817596830427646636962890625 optimization time for scenario: 34 = 0.0518398284912109375 scenario cost: 96538.60899567257729358971118927001953125 Optimization Status: 2 scenario cost: 96538.60899567257729358971118927001953125 optimization time for scenario: 35 = 0.0580360889434814453125 scenario cost: 81949.597385606073657982051372528076171875 Optimization Status: 2 scenario cost: 81949.597385606073657982051372528076171875 optimization time for scenario: 36 = 0.0575730800628662109375 scenario cost: 91167.352593552670441567897796630859375 Optimization Status: 2 scenario cost: 91167.352593552670441567897796630859375 optimization time for scenario: 37 = 0.05420684814453125 scenario cost: 100052.88149400218389928340911865234375 Optimization Status: 2 scenario cost: 100052.88149400218389928340911865234375 optimization time for scenario: 38 = 0.0596230030059814453125 scenario cost: 89564.3400441482081077992916107177734375 Optimization Status: 2 scenario cost: 89564.3400441482081077992916107177734375 optimization time for scenario: 39 = 0.0725250244140625 Sending cuts of back to the stg 1 solver Objective Value 15629.185231061712329392321407794952392578125 memory usage: 112238792 received node: gen cut: Rental Cost 0 scenario cost: 82738.042292157348128966987133026123046875 Optimization Status: 2 scenario cost: 82738.042292157348128966987133026123046875 optimization time for scenario: 80 = 0.0565338134765625 scenario cost: 99311.77027639219886623322963714599609375 Optimization Status: 2 scenario cost: 99311.77027639219886623322963714599609375 optimization time for scenario: 81 = 0.0532100200653076171875 scenario cost: 78747.0421937606879509985446929931640625 Optimization Status: 2 scenario cost: 78747.0421937606879509985446929931640625 optimization time for scenario: 82 = 0.0501091480255126953125 scenario cost: 91622.6084421220584772527217864990234375 Optimization Status: 2 scenario cost: 91622.6084421220584772527217864990234375 optimization time for scenario: 83 = 0.0497739315032958984375 scenario cost: 85157.663404225502745248377323150634765625 Optimization Status: 2 scenario cost: 85157.663404225502745248377323150634765625 optimization time for scenario: 84 = 0.0547840595245361328125 scenario cost: 88845.772147444891743361949920654296875 Optimization Status: 2 scenario cost: 88845.772147444891743361949920654296875 optimization time for scenario: 85 = 0.051647186279296875 scenario cost: 96647.139382986802957020699977874755859375 Optimization Status: 2 scenario cost: 96647.139382986802957020699977874755859375 optimization time for scenario: 86 = 0.051064968109130859375 scenario cost: 82174.17185302634607069194316864013671875 Optimization Status: 2 scenario cost: 82174.17185302634607069194316864013671875 optimization time for scenario: 87 = 0.049972057342529296875 scenario cost: 79416.621214364757179282605648040771484375 Optimization Status: 2 scenario cost: 79416.621214364757179282605648040771484375 optimization time for scenario: 88 = 0.049233913421630859375 scenario cost: 81984.35723178365151397883892059326171875 Optimization Status: 2 scenario cost: 81984.35723178365151397883892059326171875 optimization time for scenario: 89 = 0.051986217498779296875 scenario cost: 90932.44406352960504591464996337890625 Optimization Status: 2 scenario cost: 90932.44406352960504591464996337890625 optimization time for scenario: 90 = 0.05090808868408203125 scenario cost: 87583.52749911459977738559246063232421875 Optimization Status: 2 scenario cost: 87583.52749911459977738559246063232421875 optimization time for scenario: 91 = 0.05086994171142578125 scenario cost: 85857.1366255932371132075786590576171875 Optimization Status: 2 scenario cost: 85857.1366255932371132075786590576171875 optimization time for scenario: 92 = 0.0469000339508056640625 scenario cost: 102409.3262426036526449024677276611328125 Optimization Status: 2 scenario cost: 102409.3262426036526449024677276611328125 optimization time for scenario: 93 = 0.049591064453125 scenario cost: 91140.29530513388453982770442962646484375 Optimization Status: 2 scenario cost: 91140.29530513388453982770442962646484375 optimization time for scenario: 94 = 0.1019878387451171875 scenario cost: 89165.1944363479851745069026947021484375 Optimization Status: 2 scenario cost: 89165.1944363479851745069026947021484375 optimization time for scenario: 95 = 0.108623027801513671875 scenario cost: 84782.90811135465628467500209808349609375 Optimization Status: 2 scenario cost: 84782.90811135465628467500209808349609375 optimization time for scenario: 96 = 0.10579395294189453125 scenario cost: 89070.756603020403417758643627166748046875 Optimization Status: 2 scenario cost: 89070.756603020403417758643627166748046875 optimization time for scenario: 97 = 0.06017780303955078125 scenario cost: 92584.643358415094553492963314056396484375 Optimization Status: 2 scenario cost: 92584.643358415094553492963314056396484375 optimization time for scenario: 98 = 0.0505239963531494140625 scenario cost: 93203.216934077252517454326152801513671875 Optimization Status: 2 scenario cost: 93203.216934077252517454326152801513671875 optimization time for scenario: 99 = 0.0517380237579345703125 Sending cuts of back to the stg 1 solver Objective Value 14778.062867657534297904931008815765380859375 memory usage: 112240472 received node: gen cut: Rental Cost 0 scenario cost: 96887.5979316118755377829074859619140625 Optimization Status: 2 scenario cost: 96887.5979316118755377829074859619140625 optimization time for scenario: 60 = 0.067967891693115234375 scenario cost: 79388.810930171763175167143344879150390625 Optimization Status: 2 scenario cost: 79388.810930171763175167143344879150390625 optimization time for scenario: 61 = 0.091149806976318359375 scenario cost: 81276.14430049565271474421024322509765625 Optimization Status: 2 scenario cost: 81276.14430049565271474421024322509765625 optimization time for scenario: 62 = 0.1078441143035888671875 scenario cost: 81729.2699581104679964482784271240234375 Optimization Status: 2 scenario cost: 81729.2699581104679964482784271240234375 optimization time for scenario: 63 = 0.096498966217041015625 scenario cost: 96673.751926124867168255150318145751953125 Optimization Status: 2 scenario cost: 96673.751926124867168255150318145751953125 optimization time for scenario: 64 = 0.106544017791748046875 scenario cost: 97828.317292617386556230485439300537109375 Optimization Status: 2 scenario cost: 97828.317292617386556230485439300537109375 optimization time for scenario: 65 = 0.09434413909912109375 scenario cost: 89281.5578833901672624051570892333984375 Optimization Status: 2 scenario cost: 89281.5578833901672624051570892333984375 optimization time for scenario: 66 = 0.094728946685791015625 scenario cost: 82493.359110292090917937457561492919921875 Optimization Status: 2 scenario cost: 82493.359110292090917937457561492919921875 optimization time for scenario: 67 = 0.0479009151458740234375 scenario cost: 82196.85866793352761305868625640869140625 Optimization Status: 2 scenario cost: 82196.85866793352761305868625640869140625 optimization time for scenario: 68 = 0.047215938568115234375 scenario cost: 86317.757172554134740494191646575927734375 Optimization Status: 2 scenario cost: 86317.757172554134740494191646575927734375 optimization time for scenario: 69 = 0.0527641773223876953125 scenario cost: 77657.980524375103414058685302734375 Optimization Status: 2 scenario cost: 77657.980524375103414058685302734375 optimization time for scenario: 70 = 0.04905796051025390625 scenario cost: 101240.3199346592300571501255035400390625 Optimization Status: 2 scenario cost: 101240.3199346592300571501255035400390625 optimization time for scenario: 71 = 0.0493118762969970703125 scenario cost: 95507.327182592955068685114383697509765625 Optimization Status: 2 scenario cost: 95507.327182592955068685114383697509765625 optimization time for scenario: 72 = 0.07606792449951171875 scenario cost: 96292.498706887374282814562320709228515625 Optimization Status: 2 scenario cost: 96292.498706887374282814562320709228515625 optimization time for scenario: 73 = 0.10068511962890625 scenario cost: 83019.74905763912829570472240447998046875 Optimization Status: 2 scenario cost: 83019.74905763912829570472240447998046875 optimization time for scenario: 74 = 0.0495321750640869140625 scenario cost: 99551.5293526959721930325031280517578125 Optimization Status: 2 scenario cost: 99551.5293526959721930325031280517578125 optimization time for scenario: 75 = 0.0460560321807861328125 scenario cost: 88222.90315400299732573330402374267578125 Optimization Status: 2 scenario cost: 88222.90315400299732573330402374267578125 optimization time for scenario: 76 = 0.0512931346893310546875 scenario cost: 90639.448392401725868694484233856201171875 Optimization Status: 2 scenario cost: 90639.448392401725868694484233856201171875 optimization time for scenario: 77 = 0.052031993865966796875 scenario cost: 86745.3229183426010422408580780029296875 Optimization Status: 2 scenario cost: 86745.3229183426010422408580780029296875 optimization time for scenario: 78 = 0.0475780963897705078125 scenario cost: 84177.593011151984683237969875335693359375 Optimization Status: 2 scenario cost: 84177.593011151984683237969875335693359375 optimization time for scenario: 79 = 0.047564983367919921875 Sending cuts of back to the stg 1 solver Objective Value 14809.34157413051070761866867542266845703125 memory usage: 112241992 received node: gen cut: Rental Cost 0 scenario cost: 80258.85282885711058042943477630615234375 Optimization Status: 2 scenario cost: 80258.85282885711058042943477630615234375 optimization time for scenario: 40 = 0.091000080108642578125 scenario cost: 96523.178412010151077993214130401611328125 Optimization Status: 2 scenario cost: 96523.178412010151077993214130401611328125 optimization time for scenario: 41 = 0.1092770099639892578125 scenario cost: 83942.14125665064784698188304901123046875 Optimization Status: 2 scenario cost: 83942.14125665064784698188304901123046875 optimization time for scenario: 42 = 0.096560001373291015625 scenario cost: 77691.098768071897211484611034393310546875 Optimization Status: 2 scenario cost: 77691.098768071897211484611034393310546875 optimization time for scenario: 43 = 0.0899560451507568359375 scenario cost: 100696.963471695533371530473232269287109375 Optimization Status: 2 scenario cost: 100696.963471695533371530473232269287109375 optimization time for scenario: 44 = 0.1126499176025390625 scenario cost: 82020.83018474743585102260112762451171875 Optimization Status: 2 scenario cost: 82020.83018474743585102260112762451171875 optimization time for scenario: 45 = 0.1100890636444091796875 scenario cost: 84755.977742584815132431685924530029296875 Optimization Status: 2 scenario cost: 84755.977742584815132431685924530029296875 optimization time for scenario: 46 = 0.100884914398193359375 scenario cost: 94906.091262782589183188974857330322265625 Optimization Status: 2 scenario cost: 94906.091262782589183188974857330322265625 optimization time for scenario: 47 = 0.116571903228759765625 scenario cost: 90876.234730895041138865053653717041015625 Optimization Status: 2 scenario cost: 90876.234730895041138865053653717041015625 optimization time for scenario: 48 = 0.0920250415802001953125 scenario cost: 84548.7797733923071064054965972900390625 Optimization Status: 2 scenario cost: 84548.7797733923071064054965972900390625 optimization time for scenario: 49 = 0.1116092205047607421875 scenario cost: 71333.479800403001718223094940185546875 Optimization Status: 2 scenario cost: 71333.479800403001718223094940185546875 optimization time for scenario: 50 = 0.10017490386962890625 scenario cost: 103922.575319581155781634151935577392578125 Optimization Status: 2 scenario cost: 103922.575319581155781634151935577392578125 optimization time for scenario: 51 = 0.0960071086883544921875 scenario cost: 77309.779950486918096430599689483642578125 Optimization Status: 2 scenario cost: 77309.779950486918096430599689483642578125 optimization time for scenario: 52 = 0.0712711811065673828125 scenario cost: 73800.22010699307429604232311248779296875 Optimization Status: 2 scenario cost: 73800.22010699307429604232311248779296875 optimization time for scenario: 53 = 0.0450789928436279296875 scenario cost: 73615.631871263685752637684345245361328125 Optimization Status: 2 scenario cost: 73615.631871263685752637684345245361328125 optimization time for scenario: 54 = 0.0393021106719970703125 scenario cost: 76492.534989514257176779210567474365234375 Optimization Status: 2 scenario cost: 76492.534989514257176779210567474365234375 optimization time for scenario: 55 = 0.0369441509246826171875 scenario cost: 83670.121679956660955213010311126708984375 Optimization Status: 2 scenario cost: 83670.121679956660955213010311126708984375 optimization time for scenario: 56 = 0.029055118560791015625 scenario cost: 86048.835887145731248892843723297119140625 Optimization Status: 2 scenario cost: 86048.835887145731248892843723297119140625 optimization time for scenario: 57 = 0.0317180156707763671875 scenario cost: 86661.882314588307053782045841217041015625 Optimization Status: 2 scenario cost: 86661.882314588307053782045841217041015625 optimization time for scenario: 58 = 0.028933048248291015625 scenario cost: 94869.643368496894254349172115325927734375 Optimization Status: 2 scenario cost: 94869.643368496894254349172115325927734375 optimization time for scenario: 59 = 0.0320379734039306640625 Sending cuts of back to the stg 1 solver Objective Value 14199.48364950585164478980004787445068359375 memory usage: 112243512 received node: gen cut: Rental Cost 0 scenario cost: 75909.55928077551652677357196807861328125 Optimization Status: 2 scenario cost: 75909.55928077551652677357196807861328125 optimization time for scenario: 0 = 0.1158549785614013671875 scenario cost: 80790.885117261626874096691608428955078125 Optimization Status: 2 scenario cost: 80790.885117261626874096691608428955078125 optimization time for scenario: 1 = 0.0797770023345947265625 scenario cost: 85271.26198676324565894901752471923828125 Optimization Status: 2 scenario cost: 85271.26198676324565894901752471923828125 optimization time for scenario: 2 = 0.0462601184844970703125 scenario cost: 85554.3427446627174504101276397705078125 Optimization Status: 2 scenario cost: 85554.3427446627174504101276397705078125 optimization time for scenario: 3 = 0.0448720455169677734375 scenario cost: 91927.6106023569009266793727874755859375 Optimization Status: 2 scenario cost: 91927.6106023569009266793727874755859375 optimization time for scenario: 4 = 0.0453989505767822265625 scenario cost: 95960.0111028882092796266078948974609375 Optimization Status: 2 scenario cost: 95960.0111028882092796266078948974609375 optimization time for scenario: 5 = 0.043776035308837890625 scenario cost: 82797.86999333676067180931568145751953125 Optimization Status: 2 scenario cost: 82797.86999333676067180931568145751953125 optimization time for scenario: 6 = 0.052237987518310546875 scenario cost: 83284.9169328670832328498363494873046875 Optimization Status: 2 scenario cost: 83284.9169328670832328498363494873046875 optimization time for scenario: 7 = 0.049993991851806640625 scenario cost: 75725.806778558486257679760456085205078125 Optimization Status: 2 scenario cost: 75725.806778558486257679760456085205078125 optimization time for scenario: 8 = 0.1027700901031494140625 scenario cost: 92323.18583207429037429392337799072265625 Optimization Status: 2 scenario cost: 92323.18583207429037429392337799072265625 optimization time for scenario: 9 = 0.0875899791717529296875 scenario cost: 82745.4430345994769595563411712646484375 Optimization Status: 2 scenario cost: 82745.4430345994769595563411712646484375 optimization time for scenario: 10 = 0.0969791412353515625 scenario cost: 70127.289172258388134650886058807373046875 Optimization Status: 2 scenario cost: 70127.289172258388134650886058807373046875 optimization time for scenario: 11 = 0.1018559932708740234375 scenario cost: 86185.15992054218077100813388824462890625 Optimization Status: 2 scenario cost: 86185.15992054218077100813388824462890625 optimization time for scenario: 12 = 0.087696075439453125 scenario cost: 82442.74321720586158335208892822265625 Optimization Status: 2 scenario cost: 82442.74321720586158335208892822265625 optimization time for scenario: 13 = 0.09654998779296875 scenario cost: 82272.861821951242745853960514068603515625 Optimization Status: 2 scenario cost: 82272.861821951242745853960514068603515625 optimization time for scenario: 14 = 0.1023199558258056640625 scenario cost: 97107.453384567124885506927967071533203125 Optimization Status: 2 scenario cost: 97107.453384567124885506927967071533203125 optimization time for scenario: 15 = 0.09080791473388671875 scenario cost: 80468.68394253906444646418094635009765625 Optimization Status: 2 scenario cost: 80468.68394253906444646418094635009765625 optimization time for scenario: 16 = 0.0458490848541259765625 scenario cost: 78002.49422391652478836476802825927734375 Optimization Status: 2 scenario cost: 78002.49422391652478836476802825927734375 optimization time for scenario: 17 = 0.0509250164031982421875 scenario cost: 98035.46854128307313658297061920166015625 Optimization Status: 2 scenario cost: 98035.46854128307313658297061920166015625 optimization time for scenario: 18 = 0.0454471111297607421875 scenario cost: 83606.332622720990912057459354400634765625 Optimization Status: 2 scenario cost: 83606.332622720990912057459354400634765625 optimization time for scenario: 19 = 0.05119800567626953125 Sending cuts of back to the stg 1 solver Objective Value 14087.7718174633992020972073078155517578125 memory usage: 112244872 received node: gen cut: Rental Cost 0 scenario cost: 81876.86740246365661732852458953857421875 Optimization Status: 2 scenario cost: 81876.86740246365661732852458953857421875 optimization time for scenario: 80 = 0.0451099872589111328125 scenario cost: 98002.24900318178697489202022552490234375 Optimization Status: 2 scenario cost: 98002.24900318178697489202022552490234375 optimization time for scenario: 81 = 0.073546886444091796875 scenario cost: 77775.49428955421899445354938507080078125 Optimization Status: 2 scenario cost: 77775.49428955421899445354938507080078125 optimization time for scenario: 82 = 0.093614101409912109375 scenario cost: 90562.791222380867111496627330780029296875 Optimization Status: 2 scenario cost: 90562.791222380867111496627330780029296875 optimization time for scenario: 83 = 0.0962188243865966796875 scenario cost: 82946.888647956890054047107696533203125 Optimization Status: 2 scenario cost: 82946.888647956890054047107696533203125 optimization time for scenario: 84 = 0.0996911525726318359375 scenario cost: 87520.393677097032195888459682464599609375 Optimization Status: 2 scenario cost: 87520.393677097032195888459682464599609375 optimization time for scenario: 85 = 0.0498239994049072265625 scenario cost: 95574.81853390941978432238101959228515625 Optimization Status: 2 scenario cost: 95574.81853390941978432238101959228515625 optimization time for scenario: 86 = 0.048655033111572265625 scenario cost: 80666.04536998763796873390674591064453125 Optimization Status: 2 scenario cost: 80666.04536998763796873390674591064453125 optimization time for scenario: 87 = 0.053409099578857421875 scenario cost: 78366.718483318676589988172054290771484375 Optimization Status: 2 scenario cost: 78366.718483318676589988172054290771484375 optimization time for scenario: 88 = 0.053845882415771484375 scenario cost: 79918.604681899552815593779087066650390625 Optimization Status: 2 scenario cost: 79918.604681899552815593779087066650390625 optimization time for scenario: 89 = 0.0525379180908203125 scenario cost: 89032.019092306378297507762908935546875 Optimization Status: 2 scenario cost: 89032.019092306378297507762908935546875 optimization time for scenario: 90 = 0.0495741367340087890625 scenario cost: 86502.220863595706759952008724212646484375 Optimization Status: 2 scenario cost: 86502.220863595706759952008724212646484375 optimization time for scenario: 91 = 0.0702931880950927734375 scenario cost: 84833.2245283255469985306262969970703125 Optimization Status: 2 scenario cost: 84833.2245283255469985306262969970703125 optimization time for scenario: 92 = 0.1011531352996826171875 scenario cost: 101333.9756362365442328155040740966796875 Optimization Status: 2 scenario cost: 101333.9756362365442328155040740966796875 optimization time for scenario: 93 = 0.0728428363800048828125 scenario cost: 90071.232473326046601869165897369384765625 Optimization Status: 2 scenario cost: 90071.232473326046601869165897369384765625 optimization time for scenario: 94 = 0.0598509311676025390625 scenario cost: 88299.022824174098786897957324981689453125 Optimization Status: 2 scenario cost: 88299.022824174098786897957324981689453125 optimization time for scenario: 95 = 0.09897899627685546875 scenario cost: 82777.09864721828489564359188079833984375 Optimization Status: 2 scenario cost: 82777.09864721828489564359188079833984375 optimization time for scenario: 96 = 0.0956490039825439453125 scenario cost: 87941.853679809180903248488903045654296875 Optimization Status: 2 scenario cost: 87941.853679809180903248488903045654296875 optimization time for scenario: 97 = 0.104444980621337890625 scenario cost: 91684.160132799312123097479343414306640625 Optimization Status: 2 scenario cost: 91684.160132799312123097479343414306640625 optimization time for scenario: 98 = 0.041182041168212890625 scenario cost: 91933.09388419453171081840991973876953125 Optimization Status: 2 scenario cost: 91933.09388419453171081840991973876953125 optimization time for scenario: 99 = 0.028772830963134765625 Sending cuts of back to the stg 1 solver Objective Value 14563.431521655356846167705953121185302734375 memory usage: 112246552 received node: gen cut: Rental Cost 0 scenario cost: 83699.232516658608801662921905517578125 Optimization Status: 2 scenario cost: 83699.232516658608801662921905517578125 optimization time for scenario: 40 = 0.100350856781005859375 scenario cost: 99958.3995474089751951396465301513671875 Optimization Status: 2 scenario cost: 99958.3995474089751951396465301513671875 optimization time for scenario: 41 = 0.102779865264892578125 scenario cost: 87638.777872159160324372351169586181640625 Optimization Status: 2 scenario cost: 87638.777872159160324372351169586181640625 optimization time for scenario: 42 = 0.094729900360107421875 scenario cost: 81084.5014630439691245555877685546875 Optimization Status: 2 scenario cost: 81084.5014630439691245555877685546875 optimization time for scenario: 43 = 0.0979959964752197265625 scenario cost: 104756.93978383913054130971431732177734375 Optimization Status: 2 scenario cost: 104756.93978383913054130971431732177734375 optimization time for scenario: 44 = 0.1065080165863037109375 scenario cost: 85092.40780569010530598461627960205078125 Optimization Status: 2 scenario cost: 85092.40780569010530598461627960205078125 optimization time for scenario: 45 = 0.10058498382568359375 scenario cost: 87870.720362842039321549236774444580078125 Optimization Status: 2 scenario cost: 87870.720362842039321549236774444580078125 optimization time for scenario: 46 = 0.111177921295166015625 scenario cost: 98616.140707118713180534541606903076171875 Optimization Status: 2 scenario cost: 98616.140707118713180534541606903076171875 optimization time for scenario: 47 = 0.111563205718994140625 scenario cost: 94210.166791581184952519834041595458984375 Optimization Status: 2 scenario cost: 94210.166791581184952519834041595458984375 optimization time for scenario: 48 = 0.1116619110107421875 scenario cost: 88224.08248145753168500959873199462890625 Optimization Status: 2 scenario cost: 88224.08248145753168500959873199462890625 optimization time for scenario: 49 = 0.0868399143218994140625 scenario cost: 74339.6482972398516722023487091064453125 Optimization Status: 2 scenario cost: 74339.6482972398516722023487091064453125 optimization time for scenario: 50 = 0.0522010326385498046875 scenario cost: 107826.491020865025348030030727386474609375 Optimization Status: 2 scenario cost: 107826.491020865025348030030727386474609375 optimization time for scenario: 51 = 0.051354885101318359375 scenario cost: 81044.18436831099097616970539093017578125 Optimization Status: 2 scenario cost: 81044.18436831099097616970539093017578125 optimization time for scenario: 52 = 0.0654900074005126953125 scenario cost: 77204.928435130175785161554813385009765625 Optimization Status: 2 scenario cost: 77204.928435130175785161554813385009765625 optimization time for scenario: 53 = 0.0507409572601318359375 scenario cost: 76339.043165066788787953555583953857421875 Optimization Status: 2 scenario cost: 76339.043165066788787953555583953857421875 optimization time for scenario: 54 = 0.0529520511627197265625 scenario cost: 79820.170367791433818638324737548828125 Optimization Status: 2 scenario cost: 79820.170367791433818638324737548828125 optimization time for scenario: 55 = 0.0804841518402099609375 scenario cost: 86892.657619661069475114345550537109375 Optimization Status: 2 scenario cost: 86892.657619661069475114345550537109375 optimization time for scenario: 56 = 0.053173065185546875 scenario cost: 89453.19329299233504571020603179931640625 Optimization Status: 2 scenario cost: 89453.19329299233504571020603179931640625 optimization time for scenario: 57 = 0.049870967864990234375 scenario cost: 90138.041839277968392707407474517822265625 Optimization Status: 2 scenario cost: 90138.041839277968392707407474517822265625 optimization time for scenario: 58 = 0.04617595672607421875 scenario cost: 98074.502364732456044293940067291259765625 Optimization Status: 2 scenario cost: 98074.502364732456044293940067291259765625 optimization time for scenario: 59 = 0.043365955352783203125 Sending cuts of back to the stg 1 solver Objective Value 14768.97617471622652374207973480224609375 memory usage: 112247912 received node: gen cut: Rental Cost 0 scenario cost: 91051.5978252335335128009319305419921875 Optimization Status: 2 scenario cost: 91051.5978252335335128009319305419921875 optimization time for scenario: 20 = 0.0520279407501220703125 scenario cost: 81261.52115734104881994426250457763671875 Optimization Status: 2 scenario cost: 81261.52115734104881994426250457763671875 optimization time for scenario: 21 = 0.0499589443206787109375 scenario cost: 81644.893316576883080415427684783935546875 Optimization Status: 2 scenario cost: 81644.893316576883080415427684783935546875 optimization time for scenario: 22 = 0.050772190093994140625 scenario cost: 90600.8531490680179558694362640380859375 Optimization Status: 2 scenario cost: 90600.8531490680179558694362640380859375 optimization time for scenario: 23 = 0.0485260486602783203125 scenario cost: 74990.719574677277705632150173187255859375 Optimization Status: 2 scenario cost: 74990.719574677277705632150173187255859375 optimization time for scenario: 24 = 0.0519950389862060546875 scenario cost: 90774.50183995431871153414249420166015625 Optimization Status: 2 scenario cost: 90774.50183995431871153414249420166015625 optimization time for scenario: 25 = 0.057670116424560546875 scenario cost: 81471.36612452691770158708095550537109375 Optimization Status: 2 scenario cost: 81471.36612452691770158708095550537109375 optimization time for scenario: 26 = 0.0628440380096435546875 scenario cost: 83906.944879839647910557687282562255859375 Optimization Status: 2 scenario cost: 83906.944879839647910557687282562255859375 optimization time for scenario: 27 = 0.05130290985107421875 scenario cost: 95814.2094995788647793233394622802734375 Optimization Status: 2 scenario cost: 95814.2094995788647793233394622802734375 optimization time for scenario: 28 = 0.049662113189697265625 scenario cost: 87134.2788312235497869551181793212890625 Optimization Status: 2 scenario cost: 87134.2788312235497869551181793212890625 optimization time for scenario: 29 = 0.0517060756683349609375 scenario cost: 114600.952261141865164972841739654541015625 Optimization Status: 2 scenario cost: 114600.952261141865164972841739654541015625 optimization time for scenario: 30 = 0.0483419895172119140625 scenario cost: 92505.880517278215847909450531005859375 Optimization Status: 2 scenario cost: 92505.880517278215847909450531005859375 optimization time for scenario: 31 = 0.0547740459442138671875 scenario cost: 104227.805686611987766809761524200439453125 Optimization Status: 2 scenario cost: 104227.805686611987766809761524200439453125 optimization time for scenario: 32 = 0.054409027099609375 scenario cost: 99314.329169684424414299428462982177734375 Optimization Status: 2 scenario cost: 99314.329169684424414299428462982177734375 optimization time for scenario: 33 = 0.053646087646484375 scenario cost: 99559.847251709434203803539276123046875 Optimization Status: 2 scenario cost: 99559.847251709434203803539276123046875 optimization time for scenario: 34 = 0.0975449085235595703125 scenario cost: 93128.7602895905147306621074676513671875 Optimization Status: 2 scenario cost: 93128.7602895905147306621074676513671875 optimization time for scenario: 35 = 0.1138699054718017578125 scenario cost: 79264.474455182222300209105014801025390625 Optimization Status: 2 scenario cost: 79264.474455182222300209105014801025390625 optimization time for scenario: 36 = 0.102983951568603515625 scenario cost: 87862.015063166516483761370182037353515625 Optimization Status: 2 scenario cost: 87862.015063166516483761370182037353515625 optimization time for scenario: 37 = 0.09169101715087890625 scenario cost: 96717.92773234614287503063678741455078125 Optimization Status: 2 scenario cost: 96717.92773234614287503063678741455078125 optimization time for scenario: 38 = 0.0958461761474609375 scenario cost: 86176.471941036521457135677337646484375 Optimization Status: 2 scenario cost: 86176.471941036521457135677337646484375 optimization time for scenario: 39 = 0.097793102264404296875 Sending cuts of back to the stg 1 solver Objective Value 15100.017521069714348413981497287750244140625 memory usage: 112249592 received node: gen cut: Rental Cost 0 scenario cost: 98382.72593975035124458372592926025390625 Optimization Status: 2 scenario cost: 98382.72593975035124458372592926025390625 optimization time for scenario: 60 = 0.1123039722442626953125 scenario cost: 80784.999113751211552880704402923583984375 Optimization Status: 2 scenario cost: 80784.999113751211552880704402923583984375 optimization time for scenario: 61 = 0.1158931255340576171875 scenario cost: 82737.107232475071214139461517333984375 Optimization Status: 2 scenario cost: 82737.107232475071214139461517333984375 optimization time for scenario: 62 = 0.0536320209503173828125 scenario cost: 83091.999875042049097828567028045654296875 Optimization Status: 2 scenario cost: 83091.999875042049097828567028045654296875 optimization time for scenario: 63 = 0.054461002349853515625 scenario cost: 98192.4302634117775596678256988525390625 Optimization Status: 2 scenario cost: 98192.4302634117775596678256988525390625 optimization time for scenario: 64 = 0.05490398406982421875 scenario cost: 99339.401275165102561004459857940673828125 Optimization Status: 2 scenario cost: 99339.401275165102561004459857940673828125 optimization time for scenario: 65 = 0.0534169673919677734375 scenario cost: 90760.001082677146769128739833831787109375 Optimization Status: 2 scenario cost: 90760.001082677146769128739833831787109375 optimization time for scenario: 66 = 0.0552289485931396484375 scenario cost: 83787.362872220037388615310192108154296875 Optimization Status: 2 scenario cost: 83787.362872220037388615310192108154296875 optimization time for scenario: 67 = 0.0548150539398193359375 scenario cost: 83732.688802796255913563072681427001953125 Optimization Status: 2 scenario cost: 83732.688802796255913563072681427001953125 optimization time for scenario: 68 = 0.0913641452789306640625 scenario cost: 87906.124578337286948226392269134521484375 Optimization Status: 2 scenario cost: 87906.124578337286948226392269134521484375 optimization time for scenario: 69 = 0.067924976348876953125 scenario cost: 79544.01694484279141761362552642822265625 Optimization Status: 2 scenario cost: 79544.01694484279141761362552642822265625 optimization time for scenario: 70 = 0.055901050567626953125 scenario cost: 102710.493994433782063424587249755859375 Optimization Status: 2 scenario cost: 102710.493994433782063424587249755859375 optimization time for scenario: 71 = 0.0538499355316162109375 scenario cost: 97186.211819358970387838780879974365234375 Optimization Status: 2 scenario cost: 97186.211819358970387838780879974365234375 optimization time for scenario: 72 = 0.054615020751953125 scenario cost: 97833.20742770619108341634273529052734375 Optimization Status: 2 scenario cost: 97833.20742770619108341634273529052734375 optimization time for scenario: 73 = 0.0569670200347900390625 scenario cost: 84331.372851319276378490030765533447265625 Optimization Status: 2 scenario cost: 84331.372851319276378490030765533447265625 optimization time for scenario: 74 = 0.0525190830230712890625 scenario cost: 101161.787282864679582417011260986328125 Optimization Status: 2 scenario cost: 101161.787282864679582417011260986328125 optimization time for scenario: 75 = 0.100449085235595703125 scenario cost: 89764.251335660097538493573665618896484375 Optimization Status: 2 scenario cost: 89764.251335660097538493573665618896484375 optimization time for scenario: 76 = 0.113296985626220703125 scenario cost: 92063.8877823616494424641132354736328125 Optimization Status: 2 scenario cost: 92063.8877823616494424641132354736328125 optimization time for scenario: 77 = 0.095426082611083984375 scenario cost: 88307.031747475659358315169811248779296875 Optimization Status: 2 scenario cost: 88307.031747475659358315169811248779296875 optimization time for scenario: 78 = 0.074039936065673828125 scenario cost: 85481.961470744878170080482959747314453125 Optimization Status: 2 scenario cost: 85481.961470744878170080482959747314453125 optimization time for scenario: 79 = 0.0560100078582763671875 Sending cuts of back to the stg 1 solver Objective Value 15059.098627467828919179737567901611328125 memory usage: 112251112 received node: gen cut: Rental Cost 0 scenario cost: 92546.039444997513783164322376251220703125 Optimization Status: 2 scenario cost: 92546.039444997513783164322376251220703125 optimization time for scenario: 60 = 0.095877170562744140625 scenario cost: 77576.913829830955364741384983062744140625 Optimization Status: 2 scenario cost: 77576.913829830955364741384983062744140625 optimization time for scenario: 61 = 0.0999109745025634765625 scenario cost: 79344.181287789353518746793270111083984375 Optimization Status: 2 scenario cost: 79344.181287789353518746793270111083984375 optimization time for scenario: 62 = 0.1129510402679443359375 scenario cost: 80170.47409386563231237232685089111328125 Optimization Status: 2 scenario cost: 80170.47409386563231237232685089111328125 optimization time for scenario: 63 = 0.109529018402099609375 scenario cost: 94672.2529424575041048228740692138671875 Optimization Status: 2 scenario cost: 94672.2529424575041048228740692138671875 optimization time for scenario: 64 = 0.0664498805999755859375 scenario cost: 95781.1474047221126966178417205810546875 Optimization Status: 2 scenario cost: 95781.1474047221126966178417205810546875 optimization time for scenario: 65 = 0.0512599945068359375 scenario cost: 87005.437968201003968715667724609375 Optimization Status: 2 scenario cost: 87005.437968201003968715667724609375 optimization time for scenario: 66 = 0.0755331516265869140625 scenario cost: 80489.0393101432709954679012298583984375 Optimization Status: 2 scenario cost: 80489.0393101432709954679012298583984375 optimization time for scenario: 67 = 0.101089000701904296875 scenario cost: 80470.934495586450793780386447906494140625 Optimization Status: 2 scenario cost: 80470.934495586450793780386447906494140625 optimization time for scenario: 68 = 0.141560077667236328125 scenario cost: 84471.382527043213485740125179290771484375 Optimization Status: 2 scenario cost: 84471.382527043213485740125179290771484375 optimization time for scenario: 69 = 0.1205899715423583984375 scenario cost: 78013.344885984013671986758708953857421875 Optimization Status: 2 scenario cost: 78013.344885984013671986758708953857421875 optimization time for scenario: 70 = 0.1339609622955322265625 scenario cost: 99286.949733330679009668529033660888671875 Optimization Status: 2 scenario cost: 99286.949733330679009668529033660888671875 optimization time for scenario: 71 = 0.1432640552520751953125 scenario cost: 93613.61160504611325450241565704345703125 Optimization Status: 2 scenario cost: 93613.61160504611325450241565704345703125 optimization time for scenario: 72 = 0.3478190898895263671875 scenario cost: 95337.08958422599243931472301483154296875 Optimization Status: 2 scenario cost: 95337.08958422599243931472301483154296875 optimization time for scenario: 73 = 0.196155071258544921875 scenario cost: 81047.729220495428307913243770599365234375 Optimization Status: 2 scenario cost: 81047.729220495428307913243770599365234375 optimization time for scenario: 74 = 0.1929781436920166015625 scenario cost: 97677.774722943431697785854339599609375 Optimization Status: 2 scenario cost: 97677.774722943431697785854339599609375 optimization time for scenario: 75 = 0.16794300079345703125 scenario cost: 87526.7405595968593843281269073486328125 Optimization Status: 2 scenario cost: 87526.7405595968593843281269073486328125 optimization time for scenario: 76 = 0.1653749942779541015625 scenario cost: 88745.737172591107082553207874298095703125 Optimization Status: 2 scenario cost: 88745.737172591107082553207874298095703125 optimization time for scenario: 77 = 0.1601479053497314453125 scenario cost: 84734.56017914440599270164966583251953125 Optimization Status: 2 scenario cost: 84734.56017914440599270164966583251953125 optimization time for scenario: 78 = 0.077229976654052734375 scenario cost: 81948.667343544424511492252349853515625 Optimization Status: 2 scenario cost: 81948.667343544424511492252349853515625 optimization time for scenario: 79 = 0.0403749942779541015625 Sending cuts of back to the stg 1 solver Objective Value 14503.77538726255079382099211215972900390625 memory usage: 112252632 received node: gen cut: Rental Cost 0 scenario cost: 97753.853750951515394262969493865966796875 Optimization Status: 2 scenario cost: 97753.853750951515394262969493865966796875 optimization time for scenario: 100 = 0.347115039825439453125 scenario cost: 102473.028798357539926655590534210205078125 Optimization Status: 2 scenario cost: 102473.028798357539926655590534210205078125 optimization time for scenario: 101 = 0.16699695587158203125 scenario cost: 82450.1817584876553155481815338134765625 Optimization Status: 2 scenario cost: 82450.1817584876553155481815338134765625 optimization time for scenario: 102 = 0.2063329219818115234375 scenario cost: 89333.049203085087356157600879669189453125 Optimization Status: 2 scenario cost: 89333.049203085087356157600879669189453125 optimization time for scenario: 103 = 0.111630916595458984375 scenario cost: 86051.968881415683426894247531890869140625 Optimization Status: 2 scenario cost: 86051.968881415683426894247531890869140625 optimization time for scenario: 104 = 0.2398548126220703125 scenario cost: 96689.209741842161747626960277557373046875 Optimization Status: 2 scenario cost: 96689.209741842161747626960277557373046875 optimization time for scenario: 105 = 0.1015779972076416015625 scenario cost: 78776.4072598311468027532100677490234375 Optimization Status: 2 scenario cost: 78776.4072598311468027532100677490234375 optimization time for scenario: 106 = 0.121511936187744140625 scenario cost: 93412.404285819851793348789215087890625 Optimization Status: 2 scenario cost: 93412.404285819851793348789215087890625 optimization time for scenario: 107 = 0.10089206695556640625 scenario cost: 106262.691996076915529556572437286376953125 Optimization Status: 2 scenario cost: 106262.691996076915529556572437286376953125 optimization time for scenario: 108 = 0.107119083404541015625 scenario cost: 92760.123088344218558631837368011474609375 Optimization Status: 2 scenario cost: 92760.123088344218558631837368011474609375 optimization time for scenario: 109 = 0.0987951755523681640625 scenario cost: 89445.0355361785623244941234588623046875 Optimization Status: 2 scenario cost: 89445.0355361785623244941234588623046875 optimization time for scenario: 110 = 0.11291217803955078125 scenario cost: 91858.525205209749401547014713287353515625 Optimization Status: 2 scenario cost: 91858.525205209749401547014713287353515625 optimization time for scenario: 111 = 0.1009180545806884765625 scenario cost: 84905.491813565124175511300563812255859375 Optimization Status: 2 scenario cost: 84905.491813565124175511300563812255859375 optimization time for scenario: 112 = 0.117541790008544921875 scenario cost: 97828.886615885116043500602245330810546875 Optimization Status: 2 scenario cost: 97828.886615885116043500602245330810546875 optimization time for scenario: 113 = 0.1180069446563720703125 scenario cost: 82346.153735055020661093294620513916015625 Optimization Status: 2 scenario cost: 82346.153735055020661093294620513916015625 optimization time for scenario: 114 = 0.1132690906524658203125 scenario cost: 85831.11571529522188939154148101806640625 Optimization Status: 2 scenario cost: 85831.11571529522188939154148101806640625 optimization time for scenario: 115 = 0.0519449710845947265625 scenario cost: 92207.351151869996101595461368560791015625 Optimization Status: 2 scenario cost: 92207.351151869996101595461368560791015625 optimization time for scenario: 116 = 0.053432941436767578125 scenario cost: 87398.614087892332463525235652923583984375 Optimization Status: 2 scenario cost: 87398.614087892332463525235652923583984375 optimization time for scenario: 117 = 0.0520069599151611328125 scenario cost: 86148.639328824749100022017955780029296875 Optimization Status: 2 scenario cost: 86148.639328824749100022017955780029296875 optimization time for scenario: 118 = 0.0443990230560302734375 scenario cost: 84329.60839844684232957661151885986328125 Optimization Status: 2 scenario cost: 84329.60839844684232957661151885986328125 optimization time for scenario: 119 = 0.0302078723907470703125 Sending cuts of back to the stg 1 solver Objective Value 15068.7925608589430339634418487548828125 memory usage: 112254152 received node: gen cut: Rental Cost 0 scenario cost: 77990.98687345071812160313129425048828125 Optimization Status: 2 scenario cost: 77990.98687345071812160313129425048828125 optimization time for scenario: 0 = 0.15415287017822265625 scenario cost: 83787.411058684912859462201595306396484375 Optimization Status: 2 scenario cost: 83787.411058684912859462201595306396484375 optimization time for scenario: 1 = 0.118110179901123046875 scenario cost: 88246.084272528198198415338993072509765625 Optimization Status: 2 scenario cost: 88246.084272528198198415338993072509765625 optimization time for scenario: 2 = 0.1161620616912841796875 scenario cost: 88498.160306153455167077481746673583984375 Optimization Status: 2 scenario cost: 88498.160306153455167077481746673583984375 optimization time for scenario: 3 = 0.1266930103302001953125 scenario cost: 94757.344523186256992630660533905029296875 Optimization Status: 2 scenario cost: 94757.344523186256992630660533905029296875 optimization time for scenario: 4 = 0.107864856719970703125 scenario cost: 98930.616926419330411590635776519775390625 Optimization Status: 2 scenario cost: 98930.616926419330411590635776519775390625 optimization time for scenario: 5 = 0.1152379512786865234375 scenario cost: 84881.512717201563646085560321807861328125 Optimization Status: 2 scenario cost: 84881.512717201563646085560321807861328125 optimization time for scenario: 6 = 0.1078951358795166015625 scenario cost: 85397.338992493823752738535404205322265625 Optimization Status: 2 scenario cost: 85397.338992493823752738535404205322265625 optimization time for scenario: 7 = 0.110498905181884765625 scenario cost: 77697.261164075825945474207401275634765625 Optimization Status: 2 scenario cost: 77697.261164075825945474207401275634765625 optimization time for scenario: 8 = 0.122521877288818359375 scenario cost: 95227.81581869712681509554386138916015625 Optimization Status: 2 scenario cost: 95227.81581869712681509554386138916015625 optimization time for scenario: 9 = 0.11530590057373046875 scenario cost: 85767.44483178007067181169986724853515625 Optimization Status: 2 scenario cost: 85767.44483178007067181169986724853515625 optimization time for scenario: 10 = 0.116404056549072265625 scenario cost: 72085.418557169308769516646862030029296875 Optimization Status: 2 scenario cost: 72085.418557169308769516646862030029296875 optimization time for scenario: 11 = 0.103949069976806640625 scenario cost: 89969.624055818654596805572509765625 Optimization Status: 2 scenario cost: 89969.624055818654596805572509765625 optimization time for scenario: 12 = 0.049601078033447265625 scenario cost: 86186.297637569208745844662189483642578125 Optimization Status: 2 scenario cost: 86186.297637569208745844662189483642578125 optimization time for scenario: 13 = 0.0353839397430419921875 scenario cost: 85413.32740430699777789413928985595703125 Optimization Status: 2 scenario cost: 85413.32740430699777789413928985595703125 optimization time for scenario: 14 = 0.0410099029541015625 scenario cost: 100001.454941596268326975405216217041015625 Optimization Status: 2 scenario cost: 100001.454941596268326975405216217041015625 optimization time for scenario: 15 = 0.0585558414459228515625 scenario cost: 83935.418684630232746712863445281982421875 Optimization Status: 2 scenario cost: 83935.418684630232746712863445281982421875 optimization time for scenario: 16 = 0.0431020259857177734375 scenario cost: 81037.522863934151246212422847747802734375 Optimization Status: 2 scenario cost: 81037.522863934151246212422847747802734375 optimization time for scenario: 17 = 0.04782199859619140625 scenario cost: 101013.7705312085454352200031280517578125 Optimization Status: 2 scenario cost: 101013.7705312085454352200031280517578125 optimization time for scenario: 18 = 0.038188934326171875 scenario cost: 86441.412034410153864882886409759521484375 Optimization Status: 2 scenario cost: 86441.412034410153864882886409759521484375 optimization time for scenario: 19 = 0.0527360439300537109375 Sending cuts of back to the stg 1 solver Objective Value 14560.493626086814401787705719470977783203125 memory usage: 112255672 received node: gen cut: Rental Cost 0 scenario cost: 95781.748661781093687750399112701416015625 Optimization Status: 2 scenario cost: 95781.748661781093687750399112701416015625 optimization time for scenario: 100 = 0.095881938934326171875 scenario cost: 100395.27781089345808140933513641357421875 Optimization Status: 2 scenario cost: 100395.27781089345808140933513641357421875 optimization time for scenario: 101 = 0.1000769138336181640625 scenario cost: 79947.25297007706831209361553192138671875 Optimization Status: 2 scenario cost: 79947.25297007706831209361553192138671875 optimization time for scenario: 102 = 0.14873504638671875 scenario cost: 86386.59748370581655763089656829833984375 Optimization Status: 2 scenario cost: 86386.59748370581655763089656829833984375 optimization time for scenario: 103 = 0.11958599090576171875 scenario cost: 82818.071139033723738975822925567626953125 Optimization Status: 2 scenario cost: 82818.071139033723738975822925567626953125 optimization time for scenario: 104 = 0.1176578998565673828125 scenario cost: 95562.55982439752551726996898651123046875 Optimization Status: 2 scenario cost: 95562.55982439752551726996898651123046875 optimization time for scenario: 105 = 0.1179769039154052734375 scenario cost: 76120.80111628249869681894779205322265625 Optimization Status: 2 scenario cost: 76120.80111628249869681894779205322265625 optimization time for scenario: 106 = 0.1013939380645751953125 scenario cost: 90849.51484730004449374973773956298828125 Optimization Status: 2 scenario cost: 90849.51484730004449374973773956298828125 optimization time for scenario: 107 = 0.1300971508026123046875 scenario cost: 103439.79812449871678836643695831298828125 Optimization Status: 2 scenario cost: 103439.79812449871678836643695831298828125 optimization time for scenario: 108 = 0.1192760467529296875 scenario cost: 88980.062726875898079015314579010009765625 Optimization Status: 2 scenario cost: 88980.062726875898079015314579010009765625 optimization time for scenario: 109 = 0.0751779079437255859375 scenario cost: 87113.298904764858889393508434295654296875 Optimization Status: 2 scenario cost: 87113.298904764858889393508434295654296875 optimization time for scenario: 110 = 0.1069619655609130859375 scenario cost: 89142.589113434412865899503231048583984375 Optimization Status: 2 scenario cost: 89142.589113434412865899503231048583984375 optimization time for scenario: 111 = 0.1261260509490966796875 scenario cost: 82334.926056935495580546557903289794921875 Optimization Status: 2 scenario cost: 82334.926056935495580546557903289794921875 optimization time for scenario: 112 = 0.11178302764892578125 scenario cost: 94729.771353956413804553449153900146484375 Optimization Status: 2 scenario cost: 94729.771353956413804553449153900146484375 optimization time for scenario: 113 = 0.118198871612548828125 scenario cost: 79817.260828478189068846404552459716796875 Optimization Status: 2 scenario cost: 79817.260828478189068846404552459716796875 optimization time for scenario: 114 = 0.072946071624755859375 scenario cost: 83202.608951445712591521441936492919921875 Optimization Status: 2 scenario cost: 83202.608951445712591521441936492919921875 optimization time for scenario: 115 = 0.033877849578857421875 scenario cost: 89522.161296726364525966346263885498046875 Optimization Status: 2 scenario cost: 89522.161296726364525966346263885498046875 optimization time for scenario: 116 = 0.034431934356689453125 scenario cost: 84849.87464380302117206156253814697265625 Optimization Status: 2 scenario cost: 84849.87464380302117206156253814697265625 optimization time for scenario: 117 = 0.031483173370361328125 scenario cost: 83369.588494783150963485240936279296875 Optimization Status: 2 scenario cost: 83369.588494783150963485240936279296875 optimization time for scenario: 118 = 0.0334570407867431640625 scenario cost: 81334.70680033325334079563617706298828125 Optimization Status: 2 scenario cost: 81334.70680033325334079563617706298828125 optimization time for scenario: 119 = 0.0311229228973388671875 Sending cuts of back to the stg 1 solver Objective Value 14630.7620696301819407381117343902587890625 memory usage: 112257032 received node: gen cut: Rental Cost 0 scenario cost: 89407.279818813476595096290111541748046875 Optimization Status: 2 scenario cost: 89407.279818813476595096290111541748046875 optimization time for scenario: 20 = 0.10608005523681640625 scenario cost: 79232.261595180563745088875293731689453125 Optimization Status: 2 scenario cost: 79232.261595180563745088875293731689453125 optimization time for scenario: 21 = 0.1222460269927978515625 scenario cost: 79572.123041195547557435929775238037109375 Optimization Status: 2 scenario cost: 79572.123041195547557435929775238037109375 optimization time for scenario: 22 = 0.1186549663543701171875 scenario cost: 88361.66392298779101110994815826416015625 Optimization Status: 2 scenario cost: 88361.66392298779101110994815826416015625 optimization time for scenario: 23 = 0.0928618907928466796875 scenario cost: 73087.31625266963965259492397308349609375 Optimization Status: 2 scenario cost: 73087.31625266963965259492397308349609375 optimization time for scenario: 24 = 0.0582959651947021484375 scenario cost: 89332.249831599896424449980258941650390625 Optimization Status: 2 scenario cost: 89332.249831599896424449980258941650390625 optimization time for scenario: 25 = 0.05401706695556640625 scenario cost: 79417.744543565946514718234539031982421875 Optimization Status: 2 scenario cost: 79417.744543565946514718234539031982421875 optimization time for scenario: 26 = 0.0565741062164306640625 scenario cost: 82461.517018158992868848145008087158203125 Optimization Status: 2 scenario cost: 82461.517018158992868848145008087158203125 optimization time for scenario: 27 = 0.0571329593658447265625 scenario cost: 94594.707396167170372791588306427001953125 Optimization Status: 2 scenario cost: 94594.707396167170372791588306427001953125 optimization time for scenario: 28 = 0.0535600185394287109375 scenario cost: 85691.718684432285954244434833526611328125 Optimization Status: 2 scenario cost: 85691.718684432285954244434833526611328125 optimization time for scenario: 29 = 0.0547368526458740234375 scenario cost: 113844.43558596933144144713878631591796875 Optimization Status: 2 scenario cost: 113844.43558596933144144713878631591796875 optimization time for scenario: 30 = 0.0521509647369384765625 scenario cost: 91224.043403553732787258923053741455078125 Optimization Status: 2 scenario cost: 91224.043403553732787258923053741455078125 optimization time for scenario: 31 = 0.0579159259796142578125 scenario cost: 103280.39997327397577464580535888671875 Optimization Status: 2 scenario cost: 103280.39997327397577464580535888671875 optimization time for scenario: 32 = 0.0507049560546875 scenario cost: 98043.90805241549969650804996490478515625 Optimization Status: 2 scenario cost: 98043.90805241549969650804996490478515625 optimization time for scenario: 33 = 0.0532779693603515625 scenario cost: 98949.718941086655831895768642425537109375 Optimization Status: 2 scenario cost: 98949.718941086655831895768642425537109375 optimization time for scenario: 34 = 0.063159942626953125 scenario cost: 91858.8788762916228733956813812255859375 Optimization Status: 2 scenario cost: 91858.8788762916228733956813812255859375 optimization time for scenario: 35 = 0.1102368831634521484375 scenario cost: 77290.804396895502577535808086395263671875 Optimization Status: 2 scenario cost: 77290.804396895502577535808086395263671875 optimization time for scenario: 36 = 0.1056778430938720703125 scenario cost: 86616.17374892221414484083652496337890625 Optimization Status: 2 scenario cost: 86616.17374892221414484083652496337890625 optimization time for scenario: 37 = 0.085031986236572265625 scenario cost: 95474.42266605314216576516628265380859375 Optimization Status: 2 scenario cost: 95474.42266605314216576516628265380859375 optimization time for scenario: 38 = 0.0553791522979736328125 scenario cost: 84972.10775481120799668133258819580078125 Optimization Status: 2 scenario cost: 84972.10775481120799668133258819580078125 optimization time for scenario: 39 = 0.0539228916168212890625 Sending cuts of back to the stg 1 solver Objective Value 14855.886205417848032084293663501739501953125 memory usage: 112258712 received node: gen cut: Rental Cost 0 scenario cost: 79006.10554782356484793126583099365234375 Optimization Status: 2 scenario cost: 79006.10554782356484793126583099365234375 optimization time for scenario: 0 = 0.072679996490478515625 scenario cost: 85320.77599704518797807395458221435546875 Optimization Status: 2 scenario cost: 85320.77599704518797807395458221435546875 optimization time for scenario: 1 = 0.1065199375152587890625 scenario cost: 89575.17455986302229575812816619873046875 Optimization Status: 2 scenario cost: 89575.17455986302229575812816619873046875 optimization time for scenario: 2 = 0.1150379180908203125 scenario cost: 90058.62723713344894349575042724609375 Optimization Status: 2 scenario cost: 90058.62723713344894349575042724609375 optimization time for scenario: 3 = 0.102136135101318359375 scenario cost: 96520.339266548413434065878391265869140625 Optimization Status: 2 scenario cost: 96520.339266548413434065878391265869140625 optimization time for scenario: 4 = 0.0741770267486572265625 scenario cost: 100367.751084287301637232303619384765625 Optimization Status: 2 scenario cost: 100367.751084287301637232303619384765625 optimization time for scenario: 5 = 0.0522739887237548828125 scenario cost: 86306.1733035769429989159107208251953125 Optimization Status: 2 scenario cost: 86306.1733035769429989159107208251953125 optimization time for scenario: 6 = 0.07069301605224609375 scenario cost: 86759.047726587319630198180675506591796875 Optimization Status: 2 scenario cost: 86759.047726587319630198180675506591796875 optimization time for scenario: 7 = 0.0629198551177978515625 scenario cost: 79032.341423515914357267320156097412109375 Optimization Status: 2 scenario cost: 79032.341423515914357267320156097412109375 optimization time for scenario: 8 = 0.057425022125244140625 scenario cost: 96817.517754751272150315344333648681640625 Optimization Status: 2 scenario cost: 96817.517754751272150315344333648681640625 optimization time for scenario: 9 = 0.0537869930267333984375 scenario cost: 87358.724807698090444318950176239013671875 Optimization Status: 2 scenario cost: 87358.724807698090444318950176239013671875 optimization time for scenario: 10 = 0.0634610652923583984375 scenario cost: 73336.983808360746479593217372894287109375 Optimization Status: 2 scenario cost: 73336.983808360746479593217372894287109375 optimization time for scenario: 11 = 0.0539729595184326171875 scenario cost: 91952.82858126450446434319019317626953125 Optimization Status: 2 scenario cost: 91952.82858126450446434319019317626953125 optimization time for scenario: 12 = 0.051579952239990234375 scenario cost: 88190.467716559083783067762851715087890625 Optimization Status: 2 scenario cost: 88190.467716559083783067762851715087890625 optimization time for scenario: 13 = 0.0506150722503662109375 scenario cost: 87007.764762532242457382380962371826171875 Optimization Status: 2 scenario cost: 87007.764762532242457382380962371826171875 optimization time for scenario: 14 = 0.0573170185089111328125 scenario cost: 101366.969734589176368899643421173095703125 Optimization Status: 2 scenario cost: 101366.969734589176368899643421173095703125 optimization time for scenario: 15 = 0.0520441532135009765625 scenario cost: 85771.7652644621557556092739105224609375 Optimization Status: 2 scenario cost: 85771.7652644621557556092739105224609375 optimization time for scenario: 16 = 0.0678479671478271484375 scenario cost: 82454.50581510525080375373363494873046875 Optimization Status: 2 scenario cost: 82454.50581510525080375373363494873046875 optimization time for scenario: 17 = 0.1248390674591064453125 scenario cost: 102620.71622354094870388507843017578125 Optimization Status: 2 scenario cost: 102620.71622354094870388507843017578125 optimization time for scenario: 18 = 0.0994150638580322265625 scenario cost: 87961.8527746643521822988986968994140625 Optimization Status: 2 scenario cost: 87961.8527746643521822988986968994140625 optimization time for scenario: 19 = 0.1098639965057373046875 Sending cuts of back to the stg 1 solver Objective Value 14814.827685368125457898713648319244384765625 memory usage: 112260072 received node: gen cut: Rental Cost 0 scenario cost: 79232.9033975953352637588977813720703125 Optimization Status: 2 scenario cost: 79232.9033975953352637588977813720703125 optimization time for scenario: 0 = 0.150825023651123046875 scenario cost: 84774.288762571406550705432891845703125 Optimization Status: 2 scenario cost: 84774.288762571406550705432891845703125 optimization time for scenario: 1 = 0.133158206939697265625 scenario cost: 89093.658850707361125387251377105712890625 Optimization Status: 2 scenario cost: 89093.658850707361125387251377105712890625 optimization time for scenario: 2 = 0.126574993133544921875 scenario cost: 89558.335497902720817364752292633056640625 Optimization Status: 2 scenario cost: 89558.335497902720817364752292633056640625 optimization time for scenario: 3 = 0.092607021331787109375 scenario cost: 95832.54295504468609578907489776611328125 Optimization Status: 2 scenario cost: 95832.54295504468609578907489776611328125 optimization time for scenario: 4 = 0.058931827545166015625 scenario cost: 99620.08443953216192312538623809814453125 Optimization Status: 2 scenario cost: 99620.08443953216192312538623809814453125 optimization time for scenario: 5 = 0.0584080219268798828125 scenario cost: 86467.60679610996157862246036529541015625 Optimization Status: 2 scenario cost: 86467.60679610996157862246036529541015625 optimization time for scenario: 6 = 0.0623672008514404296875 scenario cost: 86975.511082863784395158290863037109375 Optimization Status: 2 scenario cost: 86975.511082863784395158290863037109375 optimization time for scenario: 7 = 0.0633380413055419921875 scenario cost: 79157.415920634011854417622089385986328125 Optimization Status: 2 scenario cost: 79157.415920634011854417622089385986328125 optimization time for scenario: 8 = 0.0612030029296875 scenario cost: 96322.257985029718838632106781005859375 Optimization Status: 2 scenario cost: 96322.257985029718838632106781005859375 optimization time for scenario: 9 = 0.059008121490478515625 scenario cost: 86733.521315580350346863269805908203125 Optimization Status: 2 scenario cost: 86733.521315580350346863269805908203125 optimization time for scenario: 10 = 0.0597579479217529296875 scenario cost: 73436.63289425181574188172817230224609375 Optimization Status: 2 scenario cost: 73436.63289425181574188172817230224609375 optimization time for scenario: 11 = 0.0583479404449462890625 scenario cost: 90191.164570498876855708658695220947265625 Optimization Status: 2 scenario cost: 90191.164570498876855708658695220947265625 optimization time for scenario: 12 = 0.058494091033935546875 scenario cost: 86399.76366744466940872371196746826171875 Optimization Status: 2 scenario cost: 86399.76366744466940872371196746826171875 optimization time for scenario: 13 = 0.0562980175018310546875 scenario cost: 86125.179976527389953844249248504638671875 Optimization Status: 2 scenario cost: 86125.179976527389953844249248504638671875 optimization time for scenario: 14 = 0.0591199398040771484375 scenario cost: 100764.78104941392666660249233245849609375 Optimization Status: 2 scenario cost: 100764.78104941392666660249233245849609375 optimization time for scenario: 15 = 0.0956399440765380859375 scenario cost: 84035.552129714618786238133907318115234375 Optimization Status: 2 scenario cost: 84035.552129714618786238133907318115234375 optimization time for scenario: 16 = 0.1096708774566650390625 scenario cost: 81658.185642604497843421995639801025390625 Optimization Status: 2 scenario cost: 81658.185642604497843421995639801025390625 optimization time for scenario: 17 = 0.1180260181427001953125 scenario cost: 101925.52451160331838764250278472900390625 Optimization Status: 2 scenario cost: 101925.52451160331838764250278472900390625 optimization time for scenario: 18 = 0.118856906890869140625 scenario cost: 87451.098868349436088465154170989990234375 Optimization Status: 2 scenario cost: 87451.098868349436088465154170989990234375 optimization time for scenario: 19 = 0.1432540416717529296875 Sending cuts of back to the stg 1 solver Objective Value 14714.574560749491865863092243671417236328125 memory usage: 112261592 received node: gen cut: Rental Cost 0 scenario cost: 80896.3856843008543364703655242919921875 Optimization Status: 2 scenario cost: 80896.3856843008543364703655242919921875 optimization time for scenario: 80 = 0.1321990489959716796875 scenario cost: 96913.546150837690220214426517486572265625 Optimization Status: 2 scenario cost: 96913.546150837690220214426517486572265625 optimization time for scenario: 81 = 0.059074878692626953125 scenario cost: 76899.034603296502609737217426300048828125 Optimization Status: 2 scenario cost: 76899.034603296502609737217426300048828125 optimization time for scenario: 82 = 0.0546081066131591796875 scenario cost: 89756.870334411200019530951976776123046875 Optimization Status: 2 scenario cost: 89756.870334411200019530951976776123046875 optimization time for scenario: 83 = 0.0557630062103271484375 scenario cost: 82758.35122225410304963588714599609375 Optimization Status: 2 scenario cost: 82758.35122225410304963588714599609375 optimization time for scenario: 84 = 0.0554888248443603515625 scenario cost: 86568.22936955801560543477535247802734375 Optimization Status: 2 scenario cost: 86568.22936955801560543477535247802734375 optimization time for scenario: 85 = 0.058948040008544921875 scenario cost: 94410.41023430266068316996097564697265625 Optimization Status: 2 scenario cost: 94410.41023430266068316996097564697265625 optimization time for scenario: 86 = 0.055416107177734375 scenario cost: 80115.6059978603734634816646575927734375 Optimization Status: 2 scenario cost: 80115.6059978603734634816646575927734375 optimization time for scenario: 87 = 0.0582520961761474609375 scenario cost: 77187.38950443567591719329357147216796875 Optimization Status: 2 scenario cost: 77187.38950443567591719329357147216796875 optimization time for scenario: 88 = 0.0518970489501953125 scenario cost: 79893.146552647245698608458042144775390625 Optimization Status: 2 scenario cost: 79893.146552647245698608458042144775390625 optimization time for scenario: 89 = 0.0553300380706787109375 scenario cost: 88967.623790131401619873940944671630859375 Optimization Status: 2 scenario cost: 88967.623790131401619873940944671630859375 optimization time for scenario: 90 = 0.0544121265411376953125 scenario cost: 85444.238615533467964269220829010009765625 Optimization Status: 2 scenario cost: 85444.238615533467964269220829010009765625 optimization time for scenario: 91 = 0.0524768829345703125 scenario cost: 83809.90416365279816091060638427734375 Optimization Status: 2 scenario cost: 83809.90416365279816091060638427734375 optimization time for scenario: 92 = 0.059072971343994140625 scenario cost: 100261.72346368074067868292331695556640625 Optimization Status: 2 scenario cost: 100261.72346368074067868292331695556640625 optimization time for scenario: 93 = 0.217996120452880859375 scenario cost: 89037.3521927152178250253200531005859375 Optimization Status: 2 scenario cost: 89037.3521927152178250253200531005859375 optimization time for scenario: 94 = 0.2413189411163330078125 scenario cost: 87434.88724542045383714139461517333984375 Optimization Status: 2 scenario cost: 87434.88724542045383714139461517333984375 optimization time for scenario: 95 = 0.1919710636138916015625 scenario cost: 82619.14613308952539227902889251708984375 Optimization Status: 2 scenario cost: 82619.14613308952539227902889251708984375 optimization time for scenario: 96 = 0.38111591339111328125 scenario cost: 86764.910326935234479606151580810546875 Optimization Status: 2 scenario cost: 86764.910326935234479606151580810546875 optimization time for scenario: 97 = 0.1716020107269287109375 scenario cost: 90596.184347425456508062779903411865234375 Optimization Status: 2 scenario cost: 90596.184347425456508062779903411865234375 optimization time for scenario: 98 = 0.158135890960693359375 scenario cost: 90875.435256517564994283020496368408203125 Optimization Status: 2 scenario cost: 90875.435256517564994283020496368408203125 optimization time for scenario: 99 = 0.3241908550262451171875 Sending cuts of back to the stg 1 solver Objective Value 14426.695419562545794178731739521026611328125 memory usage: 112263272 received node: gen cut: Rental Cost 0 scenario cost: 88848.33501268862164579331874847412109375 Optimization Status: 2 scenario cost: 88848.33501268862164579331874847412109375 optimization time for scenario: 20 = 0.186974048614501953125 scenario cost: 78502.74914870061911642551422119140625 Optimization Status: 2 scenario cost: 78502.74914870061911642551422119140625 optimization time for scenario: 21 = 0.119555950164794921875 scenario cost: 78978.678337593315518461167812347412109375 Optimization Status: 2 scenario cost: 78978.678337593315518461167812347412109375 optimization time for scenario: 22 = 0.13570880889892578125 scenario cost: 87817.49979761979193426668643951416015625 Optimization Status: 2 scenario cost: 87817.49979761979193426668643951416015625 optimization time for scenario: 23 = 0.129756927490234375 scenario cost: 72500.81042484505451284348964691162109375 Optimization Status: 2 scenario cost: 72500.81042484505451284348964691162109375 optimization time for scenario: 24 = 0.127727031707763671875 scenario cost: 88612.091562733272439800202846527099609375 Optimization Status: 2 scenario cost: 88612.091562733272439800202846527099609375 optimization time for scenario: 25 = 0.143723964691162109375 scenario cost: 78923.522818563156761229038238525390625 Optimization Status: 2 scenario cost: 78923.522818563156761229038238525390625 optimization time for scenario: 26 = 0.1376860141754150390625 scenario cost: 81754.429158193568582646548748016357421875 Optimization Status: 2 scenario cost: 81754.429158193568582646548748016357421875 optimization time for scenario: 27 = 0.1240088939666748046875 scenario cost: 93807.982633793420973233878612518310546875 Optimization Status: 2 scenario cost: 93807.982633793420973233878612518310546875 optimization time for scenario: 28 = 0.1169109344482421875 scenario cost: 85068.912194540622294880449771881103515625 Optimization Status: 2 scenario cost: 85068.912194540622294880449771881103515625 optimization time for scenario: 29 = 0.1250979900360107421875 scenario cost: 113236.6747217499651014804840087890625 Optimization Status: 2 scenario cost: 113236.6747217499651014804840087890625 optimization time for scenario: 30 = 0.0639159679412841796875 scenario cost: 90601.672022556056617759168148040771484375 Optimization Status: 2 scenario cost: 90601.672022556056617759168148040771484375 optimization time for scenario: 31 = 0.0565149784088134765625 scenario cost: 102610.36900020224857144057750701904296875 Optimization Status: 2 scenario cost: 102610.36900020224857144057750701904296875 optimization time for scenario: 32 = 0.055781841278076171875 scenario cost: 97299.623069991866941563785076141357421875 Optimization Status: 2 scenario cost: 97299.623069991866941563785076141357421875 optimization time for scenario: 33 = 0.0615489482879638671875 scenario cost: 98183.88476352408179081976413726806640625 Optimization Status: 2 scenario cost: 98183.88476352408179081976413726806640625 optimization time for scenario: 34 = 0.0557739734649658203125 scenario cost: 91401.402977318808552809059619903564453125 Optimization Status: 2 scenario cost: 91401.402977318808552809059619903564453125 optimization time for scenario: 35 = 0.0560419559478759765625 scenario cost: 76774.5103801451041363179683685302734375 Optimization Status: 2 scenario cost: 76774.5103801451041363179683685302734375 optimization time for scenario: 36 = 0.05163097381591796875 scenario cost: 85968.525677479759906418621540069580078125 Optimization Status: 2 scenario cost: 85968.525677479759906418621540069580078125 optimization time for scenario: 37 = 0.039340972900390625 scenario cost: 94744.855061167836538515985012054443359375 Optimization Status: 2 scenario cost: 94744.855061167836538515985012054443359375 optimization time for scenario: 38 = 0.0344059467315673828125 scenario cost: 84449.548614119019475765526294708251953125 Optimization Status: 2 scenario cost: 84449.548614119019475765526294708251953125 optimization time for scenario: 39 = 0.034423828125 Sending cuts of back to the stg 1 solver Objective Value 14750.658308610140011296607553958892822265625 memory usage: 112264792 received node: gen cut: Rental Cost 0 scenario cost: 90247.47947766419383697211742401123046875 Optimization Status: 2 scenario cost: 90247.47947766419383697211742401123046875 optimization time for scenario: 20 = 0.12277507781982421875 scenario cost: 80298.40044320482411421835422515869140625 Optimization Status: 2 scenario cost: 80298.40044320482411421835422515869140625 optimization time for scenario: 21 = 0.065146923065185546875 scenario cost: 80718.623476407999987713992595672607421875 Optimization Status: 2 scenario cost: 80718.623476407999987713992595672607421875 optimization time for scenario: 22 = 0.0663630962371826171875 scenario cost: 89605.423938785097561776638031005859375 Optimization Status: 2 scenario cost: 89605.423938785097561776638031005859375 optimization time for scenario: 23 = 0.0644168853759765625 scenario cost: 74183.31200478528626263141632080078125 Optimization Status: 2 scenario cost: 74183.31200478528626263141632080078125 optimization time for scenario: 24 = 0.0625250339508056640625 scenario cost: 89692.516615777814877219498157501220703125 Optimization Status: 2 scenario cost: 89692.516615777814877219498157501220703125 optimization time for scenario: 25 = 0.065021038055419921875 scenario cost: 80631.4145254546892829239368438720703125 Optimization Status: 2 scenario cost: 80631.4145254546892829239368438720703125 optimization time for scenario: 26 = 0.0630838871002197265625 scenario cost: 82901.393581595839350484311580657958984375 Optimization Status: 2 scenario cost: 82901.393581595839350484311580657958984375 optimization time for scenario: 27 = 0.06554698944091796875 scenario cost: 94864.180822092093876563012599945068359375 Optimization Status: 2 scenario cost: 94864.180822092093876563012599945068359375 optimization time for scenario: 28 = 0.06966495513916015625 scenario cost: 86184.24156281296745873987674713134765625 Optimization Status: 2 scenario cost: 86184.24156281296745873987674713134765625 optimization time for scenario: 29 = 0.1291539669036865234375 scenario cost: 113673.53053173958323895931243896484375 Optimization Status: 2 scenario cost: 113673.53053173958323895931243896484375 optimization time for scenario: 30 = 0.1328198909759521484375 scenario cost: 91595.056483197797206230461597442626953125 Optimization Status: 2 scenario cost: 91595.056483197797206230461597442626953125 optimization time for scenario: 31 = 0.1341531276702880859375 scenario cost: 103429.53056519918027333915233612060546875 Optimization Status: 2 scenario cost: 103429.53056519918027333915233612060546875 optimization time for scenario: 32 = 0.121634006500244140625 scenario cost: 98364.78407574989250861108303070068359375 Optimization Status: 2 scenario cost: 98364.78407574989250861108303070068359375 optimization time for scenario: 33 = 0.1625518798828125 scenario cost: 98667.965609596067224629223346710205078125 Optimization Status: 2 scenario cost: 98667.965609596067224629223346710205078125 optimization time for scenario: 34 = 0.130240917205810546875 scenario cost: 92333.92432109222863800823688507080078125 Optimization Status: 2 scenario cost: 92333.92432109222863800823688507080078125 optimization time for scenario: 35 = 0.07100009918212890625 scenario cost: 78407.0471680993796326220035552978515625 Optimization Status: 2 scenario cost: 78407.0471680993796326220035552978515625 optimization time for scenario: 36 = 0.060200214385986328125 scenario cost: 86852.62483679616707377135753631591796875 Optimization Status: 2 scenario cost: 86852.62483679616707377135753631591796875 optimization time for scenario: 37 = 0.0649831295013427734375 scenario cost: 95712.641014288485166616737842559814453125 Optimization Status: 2 scenario cost: 95712.641014288485166616737842559814453125 optimization time for scenario: 38 = 0.057816982269287109375 scenario cost: 85335.146338183854823000729084014892578125 Optimization Status: 2 scenario cost: 85335.146338183854823000729084014892578125 optimization time for scenario: 39 = 0.063356876373291015625 Sending cuts of back to the stg 1 solver Objective Value 14947.4338549631138448603451251983642578125 memory usage: 112266312 received node: gen cut: Rental Cost 0 scenario cost: 82771.630816833043354563415050506591796875 Optimization Status: 2 scenario cost: 82771.630816833043354563415050506591796875 optimization time for scenario: 80 = 0.051127910614013671875 scenario cost: 99531.95428447905578650534152984619140625 Optimization Status: 2 scenario cost: 99531.95428447905578650534152984619140625 optimization time for scenario: 81 = 0.0531299114227294921875 scenario cost: 78691.009560980644891969859600067138671875 Optimization Status: 2 scenario cost: 78691.009560980644891969859600067138671875 optimization time for scenario: 82 = 0.055713176727294921875 scenario cost: 91494.80708614483592100441455841064453125 Optimization Status: 2 scenario cost: 91494.80708614483592100441455841064453125 optimization time for scenario: 83 = 0.0501861572265625 scenario cost: 82642.907519195345230400562286376953125 Optimization Status: 2 scenario cost: 82642.907519195345230400562286376953125 optimization time for scenario: 84 = 0.0547950267791748046875 scenario cost: 88377.492853951756842434406280517578125 Optimization Status: 2 scenario cost: 88377.492853951756842434406280517578125 optimization time for scenario: 85 = 0.0536220073699951171875 scenario cost: 96192.62160773426876403391361236572265625 Optimization Status: 2 scenario cost: 96192.62160773426876403391361236572265625 optimization time for scenario: 86 = 0.0535869598388671875 scenario cost: 81661.5103103662258945405483245849609375 Optimization Status: 2 scenario cost: 81661.5103103662258945405483245849609375 optimization time for scenario: 87 = 0.0522139072418212890625 scenario cost: 79150.084970088020781986415386199951171875 Optimization Status: 2 scenario cost: 79150.084970088020781986415386199951171875 optimization time for scenario: 88 = 0.0551149845123291015625 scenario cost: 79662.80057629503426142036914825439453125 Optimization Status: 2 scenario cost: 79662.80057629503426142036914825439453125 optimization time for scenario: 89 = 0.0644500255584716796875 scenario cost: 89354.650353064876981079578399658203125 Optimization Status: 2 scenario cost: 89354.650353064876981079578399658203125 optimization time for scenario: 90 = 0.105001926422119140625 scenario cost: 87347.0950218218495137989521026611328125 Optimization Status: 2 scenario cost: 87347.0950218218495137989521026611328125 optimization time for scenario: 91 = 0.058910846710205078125 scenario cost: 85547.417338793820817954838275909423828125 Optimization Status: 2 scenario cost: 85547.417338793820817954838275909423828125 optimization time for scenario: 92 = 0.0594480037689208984375 scenario cost: 102096.198583195262472145259380340576171875 Optimization Status: 2 scenario cost: 102096.198583195262472145259380340576171875 optimization time for scenario: 93 = 0.0557098388671875 scenario cost: 90868.32322420328273437917232513427734375 Optimization Status: 2 scenario cost: 90868.32322420328273437917232513427734375 optimization time for scenario: 94 = 0.0578191280364990234375 scenario cost: 89242.172404426775756292045116424560546875 Optimization Status: 2 scenario cost: 89242.172404426775756292045116424560546875 optimization time for scenario: 95 = 0.0554850101470947265625 scenario cost: 83166.170922925346530973911285400390625 Optimization Status: 2 scenario cost: 83166.170922925346530973911285400390625 optimization time for scenario: 96 = 0.05463314056396484375 scenario cost: 88648.763320283382199704647064208984375 Optimization Status: 2 scenario cost: 88648.763320283382199704647064208984375 optimization time for scenario: 97 = 0.0548839569091796875 scenario cost: 92566.806858558047679252922534942626953125 Optimization Status: 2 scenario cost: 92566.806858558047679252922534942626953125 optimization time for scenario: 98 = 0.06262493133544921875 scenario cost: 93023.164010342195979319512844085693359375 Optimization Status: 2 scenario cost: 93023.164010342195979319512844085693359375 optimization time for scenario: 99 = 0.115536212921142578125 Sending cuts of back to the stg 1 solver Objective Value 14683.587778944640376721508800983428955078125 memory usage: 112267832 received node: gen cut: Rental Cost 0 scenario cost: 99292.8080575221101753413677215576171875 Optimization Status: 2 scenario cost: 99292.8080575221101753413677215576171875 optimization time for scenario: 60 = 0.05957698822021484375 scenario cost: 81407.61851240266696549952030181884765625 Optimization Status: 2 scenario cost: 81407.61851240266696549952030181884765625 optimization time for scenario: 61 = 0.0560820102691650390625 scenario cost: 83048.690152380731888115406036376953125 Optimization Status: 2 scenario cost: 83048.690152380731888115406036376953125 optimization time for scenario: 62 = 0.054440021514892578125 scenario cost: 83838.36965256885741837322711944580078125 Optimization Status: 2 scenario cost: 83838.36965256885741837322711944580078125 optimization time for scenario: 63 = 0.07301998138427734375 scenario cost: 98946.741489422158338129520416259765625 Optimization Status: 2 scenario cost: 98946.741489422158338129520416259765625 optimization time for scenario: 64 = 0.11106014251708984375 scenario cost: 100268.067820453128661029040813446044921875 Optimization Status: 2 scenario cost: 100268.067820453128661029040813446044921875 optimization time for scenario: 65 = 0.058885097503662109375 scenario cost: 91862.903595734373084269464015960693359375 Optimization Status: 2 scenario cost: 91862.903595734373084269464015960693359375 optimization time for scenario: 66 = 0.05451107025146484375 scenario cost: 84697.204981656876043416559696197509765625 Optimization Status: 2 scenario cost: 84697.204981656876043416559696197509765625 optimization time for scenario: 67 = 0.0566141605377197265625 scenario cost: 84335.721057017057319171726703643798828125 Optimization Status: 2 scenario cost: 84335.721057017057319171726703643798828125 optimization time for scenario: 68 = 0.0528590679168701171875 scenario cost: 88598.7825860227458178997039794921875 Optimization Status: 2 scenario cost: 88598.7825860227458178997039794921875 optimization time for scenario: 69 = 0.0529768466949462890625 scenario cost: 79776.067133260032278485596179962158203125 Optimization Status: 2 scenario cost: 79776.067133260032278485596179962158203125 optimization time for scenario: 70 = 0.0578968524932861328125 scenario cost: 103818.508039496038691140711307525634765625 Optimization Status: 2 scenario cost: 103818.508039496038691140711307525634765625 optimization time for scenario: 71 = 0.0575559139251708984375 scenario cost: 97841.005055826739408075809478759765625 Optimization Status: 2 scenario cost: 97841.005055826739408075809478759765625 optimization time for scenario: 72 = 0.0544149875640869140625 scenario cost: 98411.64275522506795823574066162109375 Optimization Status: 2 scenario cost: 98411.64275522506795823574066162109375 optimization time for scenario: 73 = 0.0530569553375244140625 scenario cost: 84968.2002255360712297260761260986328125 Optimization Status: 2 scenario cost: 84968.2002255360712297260761260986328125 optimization time for scenario: 74 = 0.051187992095947265625 scenario cost: 101892.681637354675331152975559234619140625 Optimization Status: 2 scenario cost: 101892.681637354675331152975559234619140625 optimization time for scenario: 75 = 0.0517389774322509765625 scenario cost: 90476.33412274732836522161960601806640625 Optimization Status: 2 scenario cost: 90476.33412274732836522161960601806640625 optimization time for scenario: 76 = 0.061254978179931640625 scenario cost: 92783.2878997787483967840671539306640625 Optimization Status: 2 scenario cost: 92783.2878997787483967840671539306640625 optimization time for scenario: 77 = 0.05288791656494140625 scenario cost: 88908.08449892912176437675952911376953125 Optimization Status: 2 scenario cost: 88908.08449892912176437675952911376953125 optimization time for scenario: 78 = 0.1103460788726806640625 scenario cost: 86526.68808900585281662642955780029296875 Optimization Status: 2 scenario cost: 86526.68808900585281662642955780029296875 optimization time for scenario: 79 = 0.0852611064910888671875 Sending cuts of back to the stg 1 solver Objective Value 15180.767671372594122658483684062957763671875 memory usage: 112269192 received node: gen cut: Rental Cost 0 scenario cost: 97134.71976243288372643291950225830078125 Optimization Status: 2 scenario cost: 97134.71976243288372643291950225830078125 optimization time for scenario: 60 = 0.1180942058563232421875 scenario cost: 79441.438852162449620664119720458984375 Optimization Status: 2 scenario cost: 79441.438852162449620664119720458984375 optimization time for scenario: 61 = 0.0550220012664794921875 scenario cost: 81229.78153008851222693920135498046875 Optimization Status: 2 scenario cost: 81229.78153008851222693920135498046875 optimization time for scenario: 62 = 0.05428600311279296875 scenario cost: 81855.337875342243933118879795074462890625 Optimization Status: 2 scenario cost: 81855.337875342243933118879795074462890625 optimization time for scenario: 63 = 0.0562088489532470703125 scenario cost: 96940.463022255644318647682666778564453125 Optimization Status: 2 scenario cost: 96940.463022255644318647682666778564453125 optimization time for scenario: 64 = 0.0542619228363037109375 scenario cost: 98117.10396956349723041057586669921875 Optimization Status: 2 scenario cost: 98117.10396956349723041057586669921875 optimization time for scenario: 65 = 0.0571329593658447265625 scenario cost: 89513.085731443366967141628265380859375 Optimization Status: 2 scenario cost: 89513.085731443366967141628265380859375 optimization time for scenario: 66 = 0.053411006927490234375 scenario cost: 82358.62944568807142786681652069091796875 Optimization Status: 2 scenario cost: 82358.62944568807142786681652069091796875 optimization time for scenario: 67 = 0.0920760631561279296875 scenario cost: 82512.858253896076348610222339630126953125 Optimization Status: 2 scenario cost: 82512.858253896076348610222339630126953125 optimization time for scenario: 68 = 0.112928867340087890625 scenario cost: 86643.322181330178864300251007080078125 Optimization Status: 2 scenario cost: 86643.322181330178864300251007080078125 optimization time for scenario: 69 = 0.1031239032745361328125 scenario cost: 78266.219284154081833548843860626220703125 Optimization Status: 2 scenario cost: 78266.219284154081833548843860626220703125 optimization time for scenario: 70 = 0.1290109157562255859375 scenario cost: 101520.558943990457919426262378692626953125 Optimization Status: 2 scenario cost: 101520.558943990457919426262378692626953125 optimization time for scenario: 71 = 0.1536769866943359375 scenario cost: 95950.485002865127171389758586883544921875 Optimization Status: 2 scenario cost: 95950.485002865127171389758586883544921875 optimization time for scenario: 72 = 0.081717014312744140625 scenario cost: 96529.431624845470651052892208099365234375 Optimization Status: 2 scenario cost: 96529.431624845470651052892208099365234375 optimization time for scenario: 73 = 0.0635569095611572265625 scenario cost: 83007.502994340364239178597927093505859375 Optimization Status: 2 scenario cost: 83007.502994340364239178597927093505859375 optimization time for scenario: 74 = 0.0547921657562255859375 scenario cost: 99919.867887828921084292232990264892578125 Optimization Status: 2 scenario cost: 99919.867887828921084292232990264892578125 optimization time for scenario: 75 = 0.0570881366729736328125 scenario cost: 88516.5714753658394329249858856201171875 Optimization Status: 2 scenario cost: 88516.5714753658394329249858856201171875 optimization time for scenario: 76 = 0.06118297576904296875 scenario cost: 90853.788608201197348535060882568359375 Optimization Status: 2 scenario cost: 90853.788608201197348535060882568359375 optimization time for scenario: 77 = 0.058001041412353515625 scenario cost: 87059.51029228317202068865299224853515625 Optimization Status: 2 scenario cost: 87059.51029228317202068865299224853515625 optimization time for scenario: 78 = 0.0618240833282470703125 scenario cost: 84190.704971710569225251674652099609375 Optimization Status: 2 scenario cost: 84190.704971710569225251674652099609375 optimization time for scenario: 79 = 0.0656719207763671875 Sending cuts of back to the stg 1 solver Objective Value 14846.2854622021768591366708278656005859375 memory usage: 112270872 received node: gen cut: Rental Cost 0 scenario cost: 90953.44680989210610277950763702392578125 Optimization Status: 2 scenario cost: 90953.44680989210610277950763702392578125 optimization time for scenario: 20 = 0.056376934051513671875 scenario cost: 80409.189627108673448674380779266357421875 Optimization Status: 2 scenario cost: 80409.189627108673448674380779266357421875 optimization time for scenario: 21 = 0.0535900592803955078125 scenario cost: 79683.875307404334307648241519927978515625 Optimization Status: 2 scenario cost: 79683.875307404334307648241519927978515625 optimization time for scenario: 22 = 0.0533211231231689453125 scenario cost: 88509.609514775205752812325954437255859375 Optimization Status: 2 scenario cost: 88509.609514775205752812325954437255859375 optimization time for scenario: 23 = 0.0625438690185546875 scenario cost: 73202.2976313153631053864955902099609375 Optimization Status: 2 scenario cost: 73202.2976313153631053864955902099609375 optimization time for scenario: 24 = 0.1140000820159912109375 scenario cost: 90722.70976553330547176301479339599609375 Optimization Status: 2 scenario cost: 90722.70976553330547176301479339599609375 optimization time for scenario: 25 = 0.114253997802734375 scenario cost: 79663.973904663856956176459789276123046875 Optimization Status: 2 scenario cost: 79663.973904663856956176459789276123046875 optimization time for scenario: 26 = 0.0999748706817626953125 scenario cost: 83835.169872089973068796098232269287109375 Optimization Status: 2 scenario cost: 83835.169872089973068796098232269287109375 optimization time for scenario: 27 = 0.403892993927001953125 scenario cost: 95842.22757922482560388743877410888671875 Optimization Status: 2 scenario cost: 95842.22757922482560388743877410888671875 optimization time for scenario: 28 = 0.4357850551605224609375 scenario cost: 87033.596250316695659421384334564208984375 Optimization Status: 2 scenario cost: 87033.596250316695659421384334564208984375 optimization time for scenario: 29 = 0.3090951442718505859375 scenario cost: 115964.86535936049767769873142242431640625 Optimization Status: 2 scenario cost: 115964.86535936049767769873142242431640625 optimization time for scenario: 30 = 0.3688738346099853515625 scenario cost: 92960.9385508653358556330204010009765625 Optimization Status: 2 scenario cost: 92960.9385508653358556330204010009765625 optimization time for scenario: 31 = 0.389399051666259765625 scenario cost: 105301.471159130960586480796337127685546875 Optimization Status: 2 scenario cost: 105301.471159130960586480796337127685546875 optimization time for scenario: 32 = 0.3881289958953857421875 scenario cost: 99400.44065894768573343753814697265625 Optimization Status: 2 scenario cost: 99400.44065894768573343753814697265625 optimization time for scenario: 33 = 0.339292049407958984375 scenario cost: 101023.633895826569641940295696258544921875 Optimization Status: 2 scenario cost: 101023.633895826569641940295696258544921875 optimization time for scenario: 34 = 0.3040511608123779296875 scenario cost: 93483.243196593612083233892917633056640625 Optimization Status: 2 scenario cost: 93483.243196593612083233892917633056640625 optimization time for scenario: 35 = 0.058844089508056640625 scenario cost: 78758.6837141611031256616115570068359375 Optimization Status: 2 scenario cost: 78758.6837141611031256616115570068359375 optimization time for scenario: 36 = 0.06264400482177734375 scenario cost: 87921.602194516643066890537738800048828125 Optimization Status: 2 scenario cost: 87921.602194516643066890537738800048828125 optimization time for scenario: 37 = 0.0539188385009765625 scenario cost: 96701.271486924277269281446933746337890625 Optimization Status: 2 scenario cost: 96701.271486924277269281446933746337890625 optimization time for scenario: 38 = 0.0512330532073974609375 scenario cost: 86524.357791794071090407669544219970703125 Optimization Status: 2 scenario cost: 86524.357791794071090407669544219970703125 optimization time for scenario: 39 = 0.042338848114013671875 Sending cuts of back to the stg 1 solver Objective Value 15065.744772366901088389568030834197998046875 memory usage: 112272392 received node: gen cut: Rental Cost 0 scenario cost: 91378.225684391436516307294368743896484375 Optimization Status: 2 scenario cost: 91378.225684391436516307294368743896484375 optimization time for scenario: 20 = 0.0545151233673095703125 scenario cost: 80859.92740867324755527079105377197265625 Optimization Status: 2 scenario cost: 80859.92740867324755527079105377197265625 optimization time for scenario: 21 = 0.0524070262908935546875 scenario cost: 80181.057451260028756223618984222412109375 Optimization Status: 2 scenario cost: 80181.057451260028756223618984222412109375 optimization time for scenario: 22 = 0.05743408203125 scenario cost: 89014.389133308475720696151256561279296875 Optimization Status: 2 scenario cost: 89014.389133308475720696151256561279296875 optimization time for scenario: 23 = 0.0535180568695068359375 scenario cost: 73691.3469251023489050567150115966796875 Optimization Status: 2 scenario cost: 73691.3469251023489050567150115966796875 optimization time for scenario: 24 = 0.0543868541717529296875 scenario cost: 91156.088857416427345015108585357666015625 Optimization Status: 2 scenario cost: 91156.088857416427345015108585357666015625 optimization time for scenario: 25 = 0.0561950206756591796875 scenario cost: 80160.84957605172530747950077056884765625 Optimization Status: 2 scenario cost: 80160.84957605172530747950077056884765625 optimization time for scenario: 26 = 0.0560150146484375 scenario cost: 84294.55063719258760102093219757080078125 Optimization Status: 2 scenario cost: 84294.55063719258760102093219757080078125 optimization time for scenario: 27 = 0.0537531375885009765625 scenario cost: 96265.92510888190008699893951416015625 Optimization Status: 2 scenario cost: 96265.92510888190008699893951416015625 optimization time for scenario: 28 = 0.051704883575439453125 scenario cost: 87524.63261039179633371531963348388671875 Optimization Status: 2 scenario cost: 87524.63261039179633371531963348388671875 optimization time for scenario: 29 = 0.053020000457763671875 scenario cost: 116481.869714627609937451779842376708984375 Optimization Status: 2 scenario cost: 116481.869714627609937451779842376708984375 optimization time for scenario: 30 = 0.0523040294647216796875 scenario cost: 93470.073383282622671686112880706787109375 Optimization Status: 2 scenario cost: 93470.073383282622671686112880706787109375 optimization time for scenario: 31 = 0.056797027587890625 scenario cost: 105816.292006751216831617057323455810546875 Optimization Status: 2 scenario cost: 105816.292006751216831617057323455810546875 optimization time for scenario: 32 = 0.0648601055145263671875 scenario cost: 99828.663969229950453154742717742919921875 Optimization Status: 2 scenario cost: 99828.663969229950453154742717742919921875 optimization time for scenario: 33 = 0.11351299285888671875 scenario cost: 101540.345261648311861790716648101806640625 Optimization Status: 2 scenario cost: 101540.345261648311861790716648101806640625 optimization time for scenario: 34 = 0.1108610630035400390625 scenario cost: 93941.65833569900132715702056884765625 Optimization Status: 2 scenario cost: 93941.65833569900132715702056884765625 optimization time for scenario: 35 = 0.1194059848785400390625 scenario cost: 79204.846832780356635339558124542236328125 Optimization Status: 2 scenario cost: 79204.846832780356635339558124542236328125 optimization time for scenario: 36 = 0.0862920284271240234375 scenario cost: 88365.376923539675772190093994140625 Optimization Status: 2 scenario cost: 88365.376923539675772190093994140625 optimization time for scenario: 37 = 0.0543670654296875 scenario cost: 97146.8089553849422372877597808837890625 Optimization Status: 2 scenario cost: 97146.8089553849422372877597808837890625 optimization time for scenario: 38 = 0.0566399097442626953125 scenario cost: 86970.1918724928400479257106781005859375 Optimization Status: 2 scenario cost: 86970.1918724928400479257106781005859375 optimization time for scenario: 39 = 0.0565369129180908203125 Sending cuts of back to the stg 1 solver Objective Value 15144.048762296864879317581653594970703125 memory usage: 112273912 received node: gen cut: Rental Cost 0 scenario cost: 95047.381201546653755940496921539306640625 Optimization Status: 2 scenario cost: 95047.381201546653755940496921539306640625 optimization time for scenario: 60 = 0.0596950054168701171875 scenario cost: 78827.0401377140660770237445831298828125 Optimization Status: 2 scenario cost: 78827.0401377140660770237445831298828125 optimization time for scenario: 61 = 0.0545880794525146484375 scenario cost: 80395.317255307789309881627559661865234375 Optimization Status: 2 scenario cost: 80395.317255307789309881627559661865234375 optimization time for scenario: 62 = 0.05189609527587890625 scenario cost: 81183.425626282827579416334629058837890625 Optimization Status: 2 scenario cost: 81183.425626282827579416334629058837890625 optimization time for scenario: 63 = 0.0566680431365966796875 scenario cost: 96272.9888638919801451265811920166015625 Optimization Status: 2 scenario cost: 96272.9888638919801451265811920166015625 optimization time for scenario: 64 = 0.0573751926422119140625 scenario cost: 97329.301898568272008560597896575927734375 Optimization Status: 2 scenario cost: 97329.301898568272008560597896575927734375 optimization time for scenario: 65 = 0.0537722110748291015625 scenario cost: 88609.2747676777653396129608154296875 Optimization Status: 2 scenario cost: 88609.2747676777653396129608154296875 optimization time for scenario: 66 = 0.0526759624481201171875 scenario cost: 81541.68506072091986425220966339111328125 Optimization Status: 2 scenario cost: 81541.68506072091986425220966339111328125 optimization time for scenario: 67 = 0.109322071075439453125 scenario cost: 81670.224503966324846260249614715576171875 Optimization Status: 2 scenario cost: 81670.224503966324846260249614715576171875 optimization time for scenario: 68 = 0.1702530384063720703125 scenario cost: 85841.1010671407566405832767486572265625 Optimization Status: 2 scenario cost: 85841.1010671407566405832767486572265625 optimization time for scenario: 69 = 0.103168010711669921875 scenario cost: 77836.6460638621938414871692657470703125 Optimization Status: 2 scenario cost: 77836.6460638621938414871692657470703125 optimization time for scenario: 70 = 0.0699708461761474609375 scenario cost: 100879.838137917147832922637462615966796875 Optimization Status: 2 scenario cost: 100879.838137917147832922637462615966796875 optimization time for scenario: 71 = 0.056407928466796875 scenario cost: 95187.6044565492193214595317840576171875 Optimization Status: 2 scenario cost: 95187.6044565492193214595317840576171875 optimization time for scenario: 72 = 0.061091899871826171875 scenario cost: 95824.44468865185626782476902008056640625 Optimization Status: 2 scenario cost: 95824.44468865185626782476902008056640625 optimization time for scenario: 73 = 0.054130077362060546875 scenario cost: 82299.14603192007052712142467498779296875 Optimization Status: 2 scenario cost: 82299.14603192007052712142467498779296875 optimization time for scenario: 74 = 0.09590911865234375 scenario cost: 99253.578784038036246784031391143798828125 Optimization Status: 2 scenario cost: 99253.578784038036246784031391143798828125 optimization time for scenario: 75 = 0.18058013916015625 scenario cost: 87829.73867533574230037629604339599609375 Optimization Status: 2 scenario cost: 87829.73867533574230037629604339599609375 optimization time for scenario: 76 = 0.05484294891357421875 scenario cost: 90114.110921213010442443192005157470703125 Optimization Status: 2 scenario cost: 90114.110921213010442443192005157470703125 optimization time for scenario: 77 = 0.0583941936492919921875 scenario cost: 86246.747004569202545098960399627685546875 Optimization Status: 2 scenario cost: 86246.747004569202545098960399627685546875 optimization time for scenario: 78 = 0.0578129291534423828125 scenario cost: 83268.1066072451067157089710235595703125 Optimization Status: 2 scenario cost: 83268.1066072451067157089710235595703125 optimization time for scenario: 79 = 0.061375141143798828125 Sending cuts of back to the stg 1 solver Objective Value 14712.08866602759735542349517345428466796875 memory usage: 112275432 received node: gen cut: Rental Cost 0 scenario cost: 89303.732237589909345842897891998291015625 Optimization Status: 2 scenario cost: 89303.732237589909345842897891998291015625 optimization time for scenario: 20 = 0.1232349872589111328125 scenario cost: 78660.20778370051993988454341888427734375 Optimization Status: 2 scenario cost: 78660.20778370051993988454341888427734375 optimization time for scenario: 21 = 0.106484889984130859375 scenario cost: 78520.526099197086296044290065765380859375 Optimization Status: 2 scenario cost: 78520.526099197086296044290065765380859375 optimization time for scenario: 22 = 0.1307928562164306640625 scenario cost: 87318.83786967452033422887325286865234375 Optimization Status: 2 scenario cost: 87318.83786967452033422887325286865234375 optimization time for scenario: 23 = 0.1231019496917724609375 scenario cost: 72085.0800976282916963100433349609375 Optimization Status: 2 scenario cost: 72085.0800976282916963100433349609375 optimization time for scenario: 24 = 0.1368961334228515625 scenario cost: 89026.275108717250986956059932708740234375 Optimization Status: 2 scenario cost: 89026.275108717250986956059932708740234375 optimization time for scenario: 25 = 0.1211068630218505859375 scenario cost: 78533.907736954162828624248504638671875 Optimization Status: 2 scenario cost: 78533.907736954162828624248504638671875 optimization time for scenario: 26 = 0.136291980743408203125 scenario cost: 82107.884246485671610571444034576416015625 Optimization Status: 2 scenario cost: 82107.884246485671610571444034576416015625 optimization time for scenario: 27 = 0.1214809417724609375 scenario cost: 94200.123259428524761460721492767333984375 Optimization Status: 2 scenario cost: 94200.123259428524761460721492767333984375 optimization time for scenario: 28 = 0.147305011749267578125 scenario cost: 85215.815241888747550547122955322265625 Optimization Status: 2 scenario cost: 85215.815241888747550547122955322265625 optimization time for scenario: 29 = 0.148890972137451171875 scenario cost: 113796.291248048350098542869091033935546875 Optimization Status: 2 scenario cost: 113796.291248048350098542869091033935546875 optimization time for scenario: 30 = 0.14276599884033203125 scenario cost: 90973.982725445661344565451145172119140625 Optimization Status: 2 scenario cost: 90973.982725445661344565451145172119140625 optimization time for scenario: 31 = 0.1268379688262939453125 scenario cost: 103304.3128713413025252521038055419921875 Optimization Status: 2 scenario cost: 103304.3128713413025252521038055419921875 optimization time for scenario: 32 = 0.1222550868988037109375 scenario cost: 97702.14254612449440173804759979248046875 Optimization Status: 2 scenario cost: 97702.14254612449440173804759979248046875 optimization time for scenario: 33 = 0.0566198825836181640625 scenario cost: 98893.83229341919650323688983917236328125 Optimization Status: 2 scenario cost: 98893.83229341919650323688983917236328125 optimization time for scenario: 34 = 0.05286884307861328125 scenario cost: 91715.327410412384779192507266998291015625 Optimization Status: 2 scenario cost: 91715.327410412384779192507266998291015625 optimization time for scenario: 35 = 0.0330049991607666015625 scenario cost: 77044.5024065060424618422985076904296875 Optimization Status: 2 scenario cost: 77044.5024065060424618422985076904296875 optimization time for scenario: 36 = 0.035624027252197265625 scenario cost: 86226.06966726385871879756450653076171875 Optimization Status: 2 scenario cost: 86226.06966726385871879756450653076171875 optimization time for scenario: 37 = 0.0298259258270263671875 scenario cost: 94948.05987524156807921826839447021484375 Optimization Status: 2 scenario cost: 94948.05987524156807921826839447021484375 optimization time for scenario: 38 = 0.0338008403778076171875 scenario cost: 84802.8887905219453386962413787841796875 Optimization Status: 2 scenario cost: 84802.8887905219453386962413787841796875 optimization time for scenario: 39 = 0.031919002532958984375 Sending cuts of back to the stg 1 solver Objective Value 14786.43918330326050636358559131622314453125 memory usage: 112276952 received node: gen cut: Rental Cost 0 scenario cost: 98252.8844333290471695363521575927734375 Optimization Status: 2 scenario cost: 98252.8844333290471695363521575927734375 optimization time for scenario: 100 = 0.062368869781494140625 scenario cost: 103029.95532801127410493791103363037109375 Optimization Status: 2 scenario cost: 103029.95532801127410493791103363037109375 optimization time for scenario: 101 = 0.0824129581451416015625 scenario cost: 82293.942708487898926250636577606201171875 Optimization Status: 2 scenario cost: 82293.942708487898926250636577606201171875 optimization time for scenario: 102 = 0.1266829967498779296875 scenario cost: 89049.16816748373094014823436737060546875 Optimization Status: 2 scenario cost: 89049.16816748373094014823436737060546875 optimization time for scenario: 103 = 0.125358104705810546875 scenario cost: 85387.36028696785797365009784698486328125 Optimization Status: 2 scenario cost: 85387.36028696785797365009784698486328125 optimization time for scenario: 104 = 0.1473920345306396484375 scenario cost: 98372.052622022383729927241802215576171875 Optimization Status: 2 scenario cost: 98372.052622022383729927241802215576171875 optimization time for scenario: 105 = 0.0997560024261474609375 scenario cost: 78289.71820421665324829518795013427734375 Optimization Status: 2 scenario cost: 78289.71820421665324829518795013427734375 optimization time for scenario: 106 = 0.0558011531829833984375 scenario cost: 92887.854944023201824165880680084228515625 Optimization Status: 2 scenario cost: 92887.854944023201824165880680084228515625 optimization time for scenario: 107 = 0.0549619197845458984375 scenario cost: 106115.412786992630572058260440826416015625 Optimization Status: 2 scenario cost: 106115.412786992630572058260440826416015625 optimization time for scenario: 108 = 0.059443950653076171875 scenario cost: 91626.476596690699807368218898773193359375 Optimization Status: 2 scenario cost: 91626.476596690699807368218898773193359375 optimization time for scenario: 109 = 0.055654048919677734375 scenario cost: 89361.38013633465743623673915863037109375 Optimization Status: 2 scenario cost: 89361.38013633465743623673915863037109375 optimization time for scenario: 110 = 0.056251049041748046875 scenario cost: 91271.710281480409321375191211700439453125 Optimization Status: 2 scenario cost: 91271.710281480409321375191211700439453125 optimization time for scenario: 111 = 0.0569789409637451171875 scenario cost: 84427.888991042345878668129444122314453125 Optimization Status: 2 scenario cost: 84427.888991042345878668129444122314453125 optimization time for scenario: 112 = 0.0590569972991943359375 scenario cost: 97553.90309150741086341440677642822265625 Optimization Status: 2 scenario cost: 97553.90309150741086341440677642822265625 optimization time for scenario: 113 = 0.056169986724853515625 scenario cost: 82125.690764490442234091460704803466796875 Optimization Status: 2 scenario cost: 82125.690764490442234091460704803466796875 optimization time for scenario: 114 = 0.056848049163818359375 scenario cost: 85448.566965978490770794451236724853515625 Optimization Status: 2 scenario cost: 85448.566965978490770794451236724853515625 optimization time for scenario: 115 = 0.056179046630859375