Memory usage before loading model = 101157848 Stage2Solver_7 is now getting to Work received node: gen cut: Rental Cost 0 scenario cost: 159748.0955525041208602488040924072265625 Optimization Status: 2 scenario cost: 159748.0955525041208602488040924072265625 optimization time for scenario: 60 = 0.0433251857757568359375 scenario cost: 112789.49394438345916569232940673828125 Optimization Status: 2 scenario cost: 112789.49394438345916569232940673828125 optimization time for scenario: 61 = 0.022530078887939453125 scenario cost: 116866.10600461697322316467761993408203125 Optimization Status: 2 scenario cost: 116866.10600461697322316467761993408203125 optimization time for scenario: 62 = 0.0218741893768310546875 scenario cost: 115078.799900570666068233549594879150390625 Optimization Status: 2 scenario cost: 115078.799900570666068233549594879150390625 optimization time for scenario: 63 = 0.020762920379638671875 scenario cost: 140125.8133189533837139606475830078125 Optimization Status: 2 scenario cost: 140125.8133189533837139606475830078125 optimization time for scenario: 64 = 0.0214710235595703125 scenario cost: 141578.37849878522683866322040557861328125 Optimization Status: 2 scenario cost: 141578.37849878522683866322040557861328125 optimization time for scenario: 65 = 0.0206699371337890625 scenario cost: 148562.21794092681375332176685333251953125 Optimization Status: 2 scenario cost: 148562.21794092681375332176685333251953125 optimization time for scenario: 66 = 0.0182399749755859375 scenario cost: 122863.185707234646542929112911224365234375 Optimization Status: 2 scenario cost: 122863.185707234646542929112911224365234375 optimization time for scenario: 67 = 0.0216519832611083984375 scenario cost: 113128.16954424045979976654052734375 Optimization Status: 2 scenario cost: 113128.16954424045979976654052734375 optimization time for scenario: 68 = 0.02157497406005859375 scenario cost: 117501.816035232623107731342315673828125 Optimization Status: 2 scenario cost: 117501.816035232623107731342315673828125 optimization time for scenario: 69 = 0.0216381549835205078125 scenario cost: 106886.87731254662503488361835479736328125 Optimization Status: 2 scenario cost: 106886.87731254662503488361835479736328125 optimization time for scenario: 70 = 0.0215141773223876953125 scenario cost: 156668.04740041695185936987400054931640625 Optimization Status: 2 scenario cost: 156668.04740041695185936987400054931640625 optimization time for scenario: 71 = 0.020740985870361328125 scenario cost: 126307.23584792573819868266582489013671875 Optimization Status: 2 scenario cost: 126307.23584792573819868266582489013671875 optimization time for scenario: 72 = 0.022755146026611328125 scenario cost: 130027.33170043423888273537158966064453125 Optimization Status: 2 scenario cost: 130027.33170043423888273537158966064453125 optimization time for scenario: 73 = 0.020600795745849609375 scenario cost: 131469.779273488675244152545928955078125 Optimization Status: 2 scenario cost: 131469.779273488675244152545928955078125 optimization time for scenario: 74 = 0.02170085906982421875 scenario cost: 139876.0351491610636003315448760986328125 Optimization Status: 2 scenario cost: 139876.0351491610636003315448760986328125 optimization time for scenario: 75 = 0.0220649242401123046875 scenario cost: 119203.153399411632562987506389617919921875 Optimization Status: 2 scenario cost: 119203.153399411632562987506389617919921875 optimization time for scenario: 76 = 0.0253689289093017578125 scenario cost: 138416.01331911780289374291896820068359375 Optimization Status: 2 scenario cost: 138416.01331911780289374291896820068359375 optimization time for scenario: 77 = 0.0262949466705322265625 scenario cost: 128860.650848798759398050606250762939453125 Optimization Status: 2 scenario cost: 128860.650848798759398050606250762939453125 optimization time for scenario: 78 = 0.0158960819244384765625 scenario cost: 125956.054902573130675591528415679931640625 Optimization Status: 2 scenario cost: 125956.054902573130675591528415679931640625 optimization time for scenario: 79 = 0.0222589969635009765625 Sending cuts of back to the stg 1 solver Objective Value 21599.1907329025052604265511035919189453125 memory usage: 112178760 received node: gen cut: Rental Cost 0 scenario cost: 134179.39905574618023820221424102783203125 Optimization Status: 2 scenario cost: 134179.39905574618023820221424102783203125 optimization time for scenario: 60 = 0.0228478908538818359375 scenario cost: 105245.781105415546335279941558837890625 Optimization Status: 2 scenario cost: 105245.781105415546335279941558837890625 optimization time for scenario: 61 = 0.0231029987335205078125 scenario cost: 108807.357095973202376626431941986083984375 Optimization Status: 2 scenario cost: 108807.357095973202376626431941986083984375 optimization time for scenario: 62 = 0.023212909698486328125 scenario cost: 109733.766310456630890257656574249267578125 Optimization Status: 2 scenario cost: 109733.766310456630890257656574249267578125 optimization time for scenario: 63 = 0.047130107879638671875 scenario cost: 123154.20607378790737129747867584228515625 Optimization Status: 2 scenario cost: 123154.20607378790737129747867584228515625 optimization time for scenario: 64 = 0.0466048717498779296875 scenario cost: 125737.919905248840223066508769989013671875 Optimization Status: 2 scenario cost: 125737.919905248840223066508769989013671875 optimization time for scenario: 65 = 0.0458118915557861328125 scenario cost: 119094.831734931460232473909854888916015625 Optimization Status: 2 scenario cost: 119094.831734931460232473909854888916015625 optimization time for scenario: 66 = 0.0451519489288330078125 scenario cost: 111440.672203055364661850035190582275390625 Optimization Status: 2 scenario cost: 111440.672203055364661850035190582275390625 optimization time for scenario: 67 = 0.0449759960174560546875 scenario cost: 107783.1359541360870935022830963134765625 Optimization Status: 2 scenario cost: 107783.1359541360870935022830963134765625 optimization time for scenario: 68 = 0.052877902984619140625 scenario cost: 112156.782445123957586474716663360595703125 Optimization Status: 2 scenario cost: 112156.782445123957586474716663360595703125 optimization time for scenario: 69 = 0.046967983245849609375 scenario cost: 101541.84372244231053628027439117431640625 Optimization Status: 2 scenario cost: 101541.84372244231053628027439117431640625 optimization time for scenario: 70 = 0.04199886322021484375 scenario cost: 130437.12505164396134205162525177001953125 Optimization Status: 2 scenario cost: 130437.12505164396134205162525177001953125 optimization time for scenario: 71 = 0.0231449604034423828125 scenario cost: 120962.202257821452803909778594970703125 Optimization Status: 2 scenario cost: 120962.202257821452803909778594970703125 optimization time for scenario: 72 = 0.0260508060455322265625 scenario cost: 124682.298110329938936047255992889404296875 Optimization Status: 2 scenario cost: 124682.298110329938936047255992889404296875 optimization time for scenario: 73 = 0.022986888885498046875 scenario cost: 110852.05408383277244865894317626953125 Optimization Status: 2 scenario cost: 110852.05408383277244865894317626953125 optimization time for scenario: 74 = 0.0229928493499755859375 scenario cost: 128354.46864138799719512462615966796875 Optimization Status: 2 scenario cost: 128354.46864138799719512462615966796875 optimization time for scenario: 75 = 0.023622035980224609375 scenario cost: 113858.119809307318064384162425994873046875 Optimization Status: 2 scenario cost: 113858.119809307318064384162425994873046875 optimization time for scenario: 76 = 0.023230075836181640625 scenario cost: 121197.863344685130869038403034210205078125 Optimization Status: 2 scenario cost: 121197.863344685130869038403034210205078125 optimization time for scenario: 77 = 0.0222527980804443359375 scenario cost: 115571.97175091705867089331150054931640625 Optimization Status: 2 scenario cost: 115571.97175091705867089331150054931640625 optimization time for scenario: 78 = 0.02349090576171875 scenario cost: 113400.740644813151448033750057220458984375 Optimization Status: 2 scenario cost: 113400.740644813151448033750057220458984375 optimization time for scenario: 79 = 0.022261142730712890625 Sending cuts of back to the stg 1 solver Objective Value 19484.8598877574913785792887210845947265625 memory usage: 112180184 received node: gen cut: Rental Cost 0 scenario cost: 103353.000855495178257115185260772705078125 Optimization Status: 2 scenario cost: 103353.000855495178257115185260772705078125 optimization time for scenario: 40 = 0.0246779918670654296875 scenario cost: 119908.490583443883224390447139739990234375 Optimization Status: 2 scenario cost: 119908.490583443883224390447139739990234375 optimization time for scenario: 41 = 0.0361449718475341796875 scenario cost: 106821.761187784592038951814174652099609375 Optimization Status: 2 scenario cost: 106821.761187784592038951814174652099609375 optimization time for scenario: 42 = 0.051578998565673828125 scenario cost: 104070.76002614732715301215648651123046875 Optimization Status: 2 scenario cost: 104070.76002614732715301215648651123046875 optimization time for scenario: 43 = 0.050673007965087890625 scenario cost: 126064.860085466629243455827236175537109375 Optimization Status: 2 scenario cost: 126064.860085466629243455827236175537109375 optimization time for scenario: 44 = 0.0604588985443115234375 scenario cost: 104678.7206133773433975875377655029296875 Optimization Status: 2 scenario cost: 104678.7206133773433975875377655029296875 optimization time for scenario: 45 = 0.0497848987579345703125 scenario cost: 109393.809598629261017777025699615478515625 Optimization Status: 2 scenario cost: 109393.809598629261017777025699615478515625 optimization time for scenario: 46 = 0.0560932159423828125 scenario cost: 120730.742175807085004635155200958251953125 Optimization Status: 2 scenario cost: 120730.742175807085004635155200958251953125 optimization time for scenario: 47 = 0.049666881561279296875 scenario cost: 113280.672423593685380183160305023193359375 Optimization Status: 2 scenario cost: 113280.672423593685380183160305023193359375 optimization time for scenario: 48 = 0.060470104217529296875 scenario cost: 107566.53795399426599033176898956298828125 Optimization Status: 2 scenario cost: 107566.53795399426599033176898956298828125 optimization time for scenario: 49 = 0.0516908168792724609375 scenario cost: 92926.77036817642510868608951568603515625 Optimization Status: 2 scenario cost: 92926.77036817642510868608951568603515625 optimization time for scenario: 50 = 0.049046039581298828125 scenario cost: 143112.0309563702903687953948974609375 Optimization Status: 2 scenario cost: 143112.0309563702903687953948974609375 optimization time for scenario: 51 = 0.0484931468963623046875 scenario cost: 99944.537034869237686507403850555419921875 Optimization Status: 2 scenario cost: 99944.537034869237686507403850555419921875 optimization time for scenario: 52 = 0.0491178035736083984375 scenario cost: 96605.684978707940899766981601715087890625 Optimization Status: 2 scenario cost: 96605.684978707940899766981601715087890625 optimization time for scenario: 53 = 0.0496690273284912109375 scenario cost: 93985.3353914395556785166263580322265625 Optimization Status: 2 scenario cost: 93985.3353914395556785166263580322265625 optimization time for scenario: 54 = 0.0362589359283447265625 scenario cost: 104899.909376490992144681513309478759765625 Optimization Status: 2 scenario cost: 104899.909376490992144681513309478759765625 optimization time for scenario: 55 = 0.0180661678314208984375 scenario cost: 105200.597072025251691229641437530517578125 Optimization Status: 2 scenario cost: 105200.597072025251691229641437530517578125 optimization time for scenario: 56 = 0.0148169994354248046875 scenario cost: 110371.6208791316603310406208038330078125 Optimization Status: 2 scenario cost: 110371.6208791316603310406208038330078125 optimization time for scenario: 57 = 0.013555049896240234375 scenario cost: 111671.012845240722526796162128448486328125 Optimization Status: 2 scenario cost: 111671.012845240722526796162128448486328125 optimization time for scenario: 58 = 0.012856960296630859375 scenario cost: 117563.24941142436000518500804901123046875 Optimization Status: 2 scenario cost: 117563.24941142436000518500804901123046875 optimization time for scenario: 59 = 0.01332378387451171875 Sending cuts of back to the stg 1 solver Objective Value 18267.84446014334025676362216472625732421875 memory usage: 112181704 received node: gen cut: Rental Cost 0 scenario cost: 121166.533545931219123303890228271484375 Optimization Status: 2 scenario cost: 121166.533545931219123303890228271484375 optimization time for scenario: 100 = 0.0233561992645263671875 scenario cost: 124867.882391052567982114851474761962890625 Optimization Status: 2 scenario cost: 124867.882391052567982114851474761962890625 optimization time for scenario: 101 = 0.025002956390380859375 scenario cost: 100327.04279233506531454622745513916015625 Optimization Status: 2 scenario cost: 100327.04279233506531454622745513916015625 optimization time for scenario: 102 = 0.02480602264404296875 scenario cost: 106634.00317109111347235739231109619140625 Optimization Status: 2 scenario cost: 106634.00317109111347235739231109619140625 optimization time for scenario: 103 = 0.0257370471954345703125 scenario cost: 102887.57970034758909605443477630615234375 Optimization Status: 2 scenario cost: 102887.57970034758909605443477630615234375 optimization time for scenario: 104 = 0.025660037994384765625 scenario cost: 116868.945791480873594991862773895263671875 Optimization Status: 2 scenario cost: 116868.945791480873594991862773895263671875 optimization time for scenario: 105 = 0.02674007415771484375 scenario cost: 96119.380882787241716869175434112548828125 Optimization Status: 2 scenario cost: 96119.380882787241716869175434112548828125 optimization time for scenario: 106 = 0.0262768268585205078125 scenario cost: 110745.4759848437388427555561065673828125 Optimization Status: 2 scenario cost: 110745.4759848437388427555561065673828125 optimization time for scenario: 107 = 0.0250899791717529296875 scenario cost: 123676.35859972625621594488620758056640625 Optimization Status: 2 scenario cost: 123676.35859972625621594488620758056640625 optimization time for scenario: 108 = 0.0254690647125244140625 scenario cost: 109309.983094669398269616067409515380859375 Optimization Status: 2 scenario cost: 109309.983094669398269616067409515380859375 optimization time for scenario: 109 = 0.0272009372711181640625 scenario cost: 106682.516826466002385132014751434326171875 Optimization Status: 2 scenario cost: 106682.516826466002385132014751434326171875 optimization time for scenario: 110 = 0.025825977325439453125 scenario cost: 109040.2856972247245721518993377685546875 Optimization Status: 2 scenario cost: 109040.2856972247245721518993377685546875 optimization time for scenario: 111 = 0.0259990692138671875 scenario cost: 102501.65225770915276370942592620849609375 Optimization Status: 2 scenario cost: 102501.65225770915276370942592620849609375 optimization time for scenario: 112 = 0.0255019664764404296875 scenario cost: 114998.875679960459819994866847991943359375 Optimization Status: 2 scenario cost: 114998.875679960459819994866847991943359375 optimization time for scenario: 113 = 0.02556705474853515625 scenario cost: 99594.4324981525423936545848846435546875 Optimization Status: 2 scenario cost: 99594.4324981525423936545848846435546875 optimization time for scenario: 114 = 0.0632078647613525390625 scenario cost: 103212.302312064261059276759624481201171875 Optimization Status: 2 scenario cost: 103212.302312064261059276759624481201171875 optimization time for scenario: 115 = 0.0519168376922607421875 scenario cost: 109622.03745127122965641319751739501953125 Optimization Status: 2 scenario cost: 109622.03745127122965641319751739501953125 optimization time for scenario: 116 = 0.068420886993408203125 scenario cost: 105862.465838285032077692449092864990234375 Optimization Status: 2 scenario cost: 105862.465838285032077692449092864990234375 optimization time for scenario: 117 = 0.043881893157958984375 scenario cost: 104615.73597758053801953792572021484375 Optimization Status: 2 scenario cost: 104615.73597758053801953792572021484375 optimization time for scenario: 118 = 0.026789188385009765625 scenario cost: 102177.4437732063233852386474609375 Optimization Status: 2 scenario cost: 102177.4437732063233852386474609375 optimization time for scenario: 119 = 0.025579929351806640625 Sending cuts of back to the stg 1 solver Objective Value 18090.85208852040159399621188640594482421875 memory usage: 112183224 received node: gen cut: Rental Cost 0 scenario cost: 106081.95489526915480382740497589111328125 Optimization Status: 2 scenario cost: 106081.95489526915480382740497589111328125 optimization time for scenario: 80 = 0.0285270214080810546875 scenario cost: 131606.7425586081226356327533721923828125 Optimization Status: 2 scenario cost: 131606.7425586081226356327533721923828125 optimization time for scenario: 81 = 0.029757022857666015625 scenario cost: 104183.80422706538229249417781829833984375 Optimization Status: 2 scenario cost: 104183.80422706538229249417781829833984375 optimization time for scenario: 82 = 0.07219600677490234375 scenario cost: 117116.32833050543558783829212188720703125 Optimization Status: 2 scenario cost: 117116.32833050543558783829212188720703125 optimization time for scenario: 83 = 0.05546092987060546875 scenario cost: 103761.043410544531070627272129058837890625 Optimization Status: 2 scenario cost: 103761.043410544531070627272129058837890625 optimization time for scenario: 84 = 0.0562038421630859375 scenario cost: 114029.409948286600410938262939453125 Optimization Status: 2 scenario cost: 114029.409948286600410938262939453125 optimization time for scenario: 85 = 0.06093502044677734375 scenario cost: 119620.400697157470858655869960784912109375 Optimization Status: 2 scenario cost: 119620.400697157470858655869960784912109375 optimization time for scenario: 86 = 0.0541679859161376953125 scenario cost: 106320.698140285661793313920497894287109375 Optimization Status: 2 scenario cost: 106320.698140285661793313920497894287109375 optimization time for scenario: 87 = 0.0587680339813232421875 scenario cost: 103111.364318412393913604319095611572265625 Optimization Status: 2 scenario cost: 103111.364318412393913604319095611572265625 optimization time for scenario: 88 = 0.0522849559783935546875 scenario cost: 103404.628728492869413457810878753662109375 Optimization Status: 2 scenario cost: 103404.628728492869413457810878753662109375 optimization time for scenario: 89 = 0.0622699260711669921875 scenario cost: 111995.583776496045175008475780487060546875 Optimization Status: 2 scenario cost: 111995.583776496045175008475780487060546875 optimization time for scenario: 90 = 0.053865909576416015625 scenario cost: 112822.819975176666048355400562286376953125 Optimization Status: 2 scenario cost: 112822.819975176666048355400562286376953125 optimization time for scenario: 91 = 0.04811000823974609375 scenario cost: 112389.579421799178817309439182281494140625 Optimization Status: 2 scenario cost: 112389.579421799178817309439182281494140625 optimization time for scenario: 92 = 0.0576589107513427734375 scenario cost: 131654.25981805004994384944438934326171875 Optimization Status: 2 scenario cost: 131654.25981805004994384944438934326171875 optimization time for scenario: 93 = 0.02783298492431640625 scenario cost: 113795.816503498863312415778636932373046875 Optimization Status: 2 scenario cost: 113795.816503498863312415778636932373046875 optimization time for scenario: 94 = 0.02544307708740234375 scenario cost: 112426.600724668402108363807201385498046875 Optimization Status: 2 scenario cost: 112426.600724668402108363807201385498046875 optimization time for scenario: 95 = 0.017199993133544921875 scenario cost: 108027.503485069712041877210140228271484375 Optimization Status: 2 scenario cost: 108027.503485069712041877210140228271484375 optimization time for scenario: 96 = 0.016870021820068359375 scenario cost: 115684.036074202391318976879119873046875 Optimization Status: 2 scenario cost: 115684.036074202391318976879119873046875 optimization time for scenario: 97 = 0.0185239315032958984375 scenario cost: 119263.299218312386074103415012359619140625 Optimization Status: 2 scenario cost: 119263.299218312386074103415012359619140625 optimization time for scenario: 98 = 0.017425060272216796875 scenario cost: 120627.45763611156144179403781890869140625 Optimization Status: 2 scenario cost: 120627.45763611156144179403781890869140625 optimization time for scenario: 99 = 0.0170688629150390625 Sending cuts of back to the stg 1 solver Objective Value 18899.28550162238025222904980182647705078125 memory usage: 112184744 received node: gen cut: Rental Cost 0 scenario cost: 104636.529849865823052823543548583984375 Optimization Status: 2 scenario cost: 104636.529849865823052823543548583984375 optimization time for scenario: 20 = 0.0523560047149658203125 scenario cost: 94734.103771062960731796920299530029296875 Optimization Status: 2 scenario cost: 94734.103771062960731796920299530029296875 optimization time for scenario: 21 = 0.0625879764556884765625 scenario cost: 91742.092579206728260032832622528076171875 Optimization Status: 2 scenario cost: 91742.092579206728260032832622528076171875 optimization time for scenario: 22 = 0.0300960540771484375 scenario cost: 100574.20556915094493888318538665771484375 Optimization Status: 2 scenario cost: 100574.20556915094493888318538665771484375 optimization time for scenario: 23 = 0.0309398174285888671875 scenario cost: 85910.52268214660580269992351531982421875 Optimization Status: 2 scenario cost: 85910.52268214660580269992351531982421875 optimization time for scenario: 24 = 0.0312578678131103515625 scenario cost: 103922.078075306504615582525730133056640625 Optimization Status: 2 scenario cost: 103922.078075306504615582525730133056640625 optimization time for scenario: 25 = 0.0489637851715087890625 scenario cost: 94489.412812122798641212284564971923828125 Optimization Status: 2 scenario cost: 94489.412812122798641212284564971923828125 optimization time for scenario: 26 = 0.0538690090179443359375 scenario cost: 97193.31334734856500290334224700927734375 Optimization Status: 2 scenario cost: 97193.31334734856500290334224700927734375 optimization time for scenario: 27 = 0.06264400482177734375 scenario cost: 108300.488042297190986573696136474609375 Optimization Status: 2 scenario cost: 108300.488042297190986573696136474609375 optimization time for scenario: 28 = 0.055493831634521484375 scenario cost: 99437.458452725200913846492767333984375 Optimization Status: 2 scenario cost: 99437.458452725200913846492767333984375 optimization time for scenario: 29 = 0.069653034210205078125 scenario cost: 129969.472929386029136367142200469970703125 Optimization Status: 2 scenario cost: 129969.472929386029136367142200469970703125 optimization time for scenario: 30 = 0.0502178668975830078125 scenario cost: 106981.098818909391411580145359039306640625 Optimization Status: 2 scenario cost: 106981.098818909391411580145359039306640625 optimization time for scenario: 31 = 0.0314280986785888671875 scenario cost: 119291.572928528417833149433135986328125 Optimization Status: 2 scenario cost: 119291.572928528417833149433135986328125 optimization time for scenario: 32 = 0.028520107269287109375 scenario cost: 112157.39631761630880646407604217529296875 Optimization Status: 2 scenario cost: 112157.39631761630880646407604217529296875 optimization time for scenario: 33 = 0.0515520572662353515625 scenario cost: 114987.867080289739533327519893646240234375 Optimization Status: 2 scenario cost: 114987.867080289739533327519893646240234375 optimization time for scenario: 34 = 0.05590915679931640625 scenario cost: 105953.608419514013803564012050628662109375 Optimization Status: 2 scenario cost: 105953.608419514013803564012050628662109375 optimization time for scenario: 35 = 0.03054904937744140625 scenario cost: 91524.937666710509802214801311492919921875 Optimization Status: 2 scenario cost: 91524.937666710509802214801311492919921875 optimization time for scenario: 36 = 0.0353219509124755859375 scenario cost: 100771.795564012063550762832164764404296875 Optimization Status: 2 scenario cost: 100771.795564012063550762832164764404296875 optimization time for scenario: 37 = 0.0306990146636962890625 scenario cost: 109645.583988755286554805934429168701171875 Optimization Status: 2 scenario cost: 109645.583988755286554805934429168701171875 optimization time for scenario: 38 = 0.0342190265655517578125 scenario cost: 98852.737715334675158374011516571044921875 Optimization Status: 2 scenario cost: 98852.737715334675158374011516571044921875 optimization time for scenario: 39 = 0.0291919708251953125 Sending cuts of back to the stg 1 solver Objective Value 17258.899935876528616063296794891357421875 memory usage: 112186264 received node: gen cut: Rental Cost 0 scenario cost: 87054.048341932022594846785068511962890625 Optimization Status: 2 scenario cost: 87054.048341932022594846785068511962890625 optimization time for scenario: 40 = 0.0635550022125244140625 scenario cost: 103900.655085511854849755764007568359375 Optimization Status: 2 scenario cost: 103900.655085511854849755764007568359375 optimization time for scenario: 41 = 0.059999942779541015625 scenario cost: 92955.8753806111053563654422760009765625 Optimization Status: 2 scenario cost: 92955.8753806111053563654422760009765625 optimization time for scenario: 42 = 0.0726578235626220703125 scenario cost: 85862.1063103632186539471149444580078125 Optimization Status: 2 scenario cost: 85862.1063103632186539471149444580078125 optimization time for scenario: 43 = 0.05280303955078125 scenario cost: 109348.25095715743373148143291473388671875 Optimization Status: 2 scenario cost: 109348.25095715743373148143291473388671875 optimization time for scenario: 44 = 0.0538921356201171875 scenario cost: 90665.162930999766103923320770263671875 Optimization Status: 2 scenario cost: 90665.162930999766103923320770263671875 optimization time for scenario: 45 = 0.0677030086517333984375 scenario cost: 93329.614992647329927422106266021728515625 Optimization Status: 2 scenario cost: 93329.614992647329927422106266021728515625 optimization time for scenario: 46 = 0.05350494384765625 scenario cost: 104284.661781558461370877921581268310546875 Optimization Status: 2 scenario cost: 104284.661781558461370877921581268310546875 optimization time for scenario: 47 = 0.053740978240966796875 scenario cost: 99150.97252784550073556602001190185546875 Optimization Status: 2 scenario cost: 99150.97252784550073556602001190185546875 optimization time for scenario: 48 = 0.066092967987060546875 scenario cost: 91587.62588918823166750371456146240234375 Optimization Status: 2 scenario cost: 91587.62588918823166750371456146240234375 optimization time for scenario: 49 = 0.0302789211273193359375 scenario cost: 80606.8063756210613064467906951904296875 Optimization Status: 2 scenario cost: 80606.8063756210613064467906951904296875 optimization time for scenario: 50 = 0.0287189483642578125 scenario cost: 120311.295316275281948037445545196533203125 Optimization Status: 2 scenario cost: 120311.295316275281948037445545196533203125 optimization time for scenario: 51 = 0.0296289920806884765625 scenario cost: 84572.5209451007540337741374969482421875 Optimization Status: 2 scenario cost: 84572.5209451007540337741374969482421875 optimization time for scenario: 52 = 0.0284168720245361328125 scenario cost: 82059.228052577571361325681209564208984375 Optimization Status: 2 scenario cost: 82059.228052577571361325681209564208984375 optimization time for scenario: 53 = 0.0559160709381103515625 scenario cost: 80809.966877824379480443894863128662109375 Optimization Status: 2 scenario cost: 80809.966877824379480443894863128662109375 optimization time for scenario: 54 = 0.0401961803436279296875 scenario cost: 85254.958943352903588674962520599365234375 Optimization Status: 2 scenario cost: 85254.958943352903588674962520599365234375 optimization time for scenario: 55 = 0.0278298854827880859375 scenario cost: 89678.70540622077533043920993804931640625 Optimization Status: 2 scenario cost: 89678.70540622077533043920993804931640625 optimization time for scenario: 56 = 0.0289108753204345703125 scenario cost: 95732.36478411036659963428974151611328125 Optimization Status: 2 scenario cost: 95732.36478411036659963428974151611328125 optimization time for scenario: 57 = 0.018125057220458984375 scenario cost: 95349.861244235551566816866397857666015625 Optimization Status: 2 scenario cost: 95349.861244235551566816866397857666015625 optimization time for scenario: 58 = 0.0176060199737548828125 scenario cost: 102363.57257651686086319386959075927734375 Optimization Status: 2 scenario cost: 102363.57257651686086319386959075927734375 optimization time for scenario: 59 = 0.0173399448394775390625 Sending cuts of back to the stg 1 solver Objective Value 15623.922960055262592504732310771942138671875 memory usage: 112187784 received node: gen cut: Rental Cost 0 scenario cost: 168428.75295857313903979957103729248046875 Optimization Status: 2 scenario cost: 168428.75295857313903979957103729248046875 optimization time for scenario: 100 = 0.03491306304931640625 scenario cost: 168948.2122696557198651134967803955078125 Optimization Status: 2 scenario cost: 168948.2122696557198651134967803955078125 optimization time for scenario: 101 = 0.089728832244873046875 scenario cost: 109952.268440642743371427059173583984375 Optimization Status: 2 scenario cost: 109952.268440642743371427059173583984375 optimization time for scenario: 102 = 0.0682418346405029296875 scenario cost: 104934.774813039810396730899810791015625 Optimization Status: 2 scenario cost: 104934.774813039810396730899810791015625 optimization time for scenario: 103 = 0.074542999267578125 scenario cost: 98202.10598292076610960066318511962890625 Optimization Status: 2 scenario cost: 98202.10598292076610960066318511962890625 optimization time for scenario: 104 = 0.0767040252685546875 scenario cost: 151404.35781944054178893566131591796875 Optimization Status: 2 scenario cost: 151404.35781944054178893566131591796875 optimization time for scenario: 105 = 0.0768291950225830078125 scenario cost: 93704.821067147408029995858669281005859375 Optimization Status: 2 scenario cost: 93704.821067147408029995858669281005859375 optimization time for scenario: 106 = 0.0822198390960693359375 scenario cost: 109158.689521332853473722934722900390625 Optimization Status: 2 scenario cost: 109158.689521332853473722934722900390625 optimization time for scenario: 107 = 0.0799210071563720703125 scenario cost: 145029.240881058969534933567047119140625 Optimization Status: 2 scenario cost: 145029.240881058969534933567047119140625 optimization time for scenario: 108 = 0.088242053985595703125 scenario cost: 106416.446010740575729869306087493896484375 Optimization Status: 2 scenario cost: 106416.446010740575729869306087493896484375 optimization time for scenario: 109 = 0.0723731517791748046875 scenario cost: 117471.89506082478328607976436614990234375 Optimization Status: 2 scenario cost: 117471.89506082478328607976436614990234375 optimization time for scenario: 110 = 0.068068027496337890625 scenario cost: 106082.886424367301515303552150726318359375 Optimization Status: 2 scenario cost: 106082.886424367301515303552150726318359375 optimization time for scenario: 111 = 0.072988986968994140625 scenario cost: 105371.716130772489123046398162841796875 Optimization Status: 2 scenario cost: 105371.716130772489123046398162841796875 optimization time for scenario: 112 = 0.042191982269287109375 scenario cost: 112968.1827135161147452890872955322265625 Optimization Status: 2 scenario cost: 112968.1827135161147452890872955322265625 optimization time for scenario: 113 = 0.0388200283050537109375 scenario cost: 95850.7474804395460523664951324462890625 Optimization Status: 2 scenario cost: 95850.7474804395460523664951324462890625 optimization time for scenario: 114 = 0.0384399890899658203125 scenario cost: 107453.956850017377291806042194366455078125 Optimization Status: 2 scenario cost: 107453.956850017377291806042194366455078125 optimization time for scenario: 115 = 0.0318419933319091796875 scenario cost: 106645.686595848135766573250293731689453125 Optimization Status: 2 scenario cost: 106645.686595848135766573250293731689453125 optimization time for scenario: 116 = 0.0232219696044921875 scenario cost: 116749.51028788604889996349811553955078125 Optimization Status: 2 scenario cost: 116749.51028788604889996349811553955078125 optimization time for scenario: 117 = 0.0218570232391357421875 scenario cost: 112456.061440790814231149852275848388671875 Optimization Status: 2 scenario cost: 112456.061440790814231149852275848388671875 optimization time for scenario: 118 = 0.0216228961944580078125 scenario cost: 106919.843809217520174570381641387939453125 Optimization Status: 2 scenario cost: 106919.843809217520174570381641387939453125 optimization time for scenario: 119 = 0.0234229564666748046875 Sending cuts of back to the stg 1 solver Objective Value 19534.5064996467190212570130825042724609375 memory usage: 112189304 received node: gen cut: Rental Cost 0 scenario cost: 95341.232870100779109634459018707275390625 Optimization Status: 2 scenario cost: 95341.232870100779109634459018707275390625 optimization time for scenario: 20 = 0.0830528736114501953125 scenario cost: 85623.100425807133433409035205841064453125 Optimization Status: 2 scenario cost: 85623.100425807133433409035205841064453125 optimization time for scenario: 21 = 0.0798099040985107421875 scenario cost: 82381.791056562316953204572200775146484375 Optimization Status: 2 scenario cost: 82381.791056562316953204572200775146484375 optimization time for scenario: 22 = 0.0811331272125244140625 scenario cost: 91873.489345196212525479495525360107421875 Optimization Status: 2 scenario cost: 91873.489345196212525479495525360107421875 optimization time for scenario: 23 = 0.0816299915313720703125 scenario cost: 76550.91130185590009205043315887451171875 Optimization Status: 2 scenario cost: 76550.91130185590009205043315887451171875 optimization time for scenario: 24 = 0.0495960712432861328125 scenario cost: 95362.12279505468904972076416015625 Optimization Status: 2 scenario cost: 95362.12279505468904972076416015625 optimization time for scenario: 25 = 0.0870330333709716796875 scenario cost: 85121.22994980844669044017791748046875 Optimization Status: 2 scenario cost: 85121.22994980844669044017791748046875 optimization time for scenario: 26 = 0.084596157073974609375 scenario cost: 90422.560699700494296848773956298828125 Optimization Status: 2 scenario cost: 90422.560699700494296848773956298828125 optimization time for scenario: 27 = 0.0812060832977294921875 scenario cost: 101163.995337554384605027735233306884765625 Optimization Status: 2 scenario cost: 101163.995337554384605027735233306884765625 optimization time for scenario: 28 = 0.0770051479339599609375 scenario cost: 93083.62486414142767898738384246826171875 Optimization Status: 2 scenario cost: 93083.62486414142767898738384246826171875 optimization time for scenario: 29 = 0.0882511138916015625 scenario cost: 128397.472625142443575896322727203369140625 Optimization Status: 2 scenario cost: 128397.472625142443575896322727203369140625 optimization time for scenario: 30 = 0.0637929439544677734375 scenario cost: 99989.290360220053116790950298309326171875 Optimization Status: 2 scenario cost: 99989.290360220053116790950298309326171875 optimization time for scenario: 31 = 0.041699886322021484375 scenario cost: 112945.73906660708598792552947998046875 Optimization Status: 2 scenario cost: 112945.73906660708598792552947998046875 optimization time for scenario: 32 = 0.0397789478302001953125 scenario cost: 103895.792662419771659187972545623779296875 Optimization Status: 2 scenario cost: 103895.792662419771659187972545623779296875 optimization time for scenario: 33 = 0.04018497467041015625 scenario cost: 111256.1398228247999213635921478271484375 Optimization Status: 2 scenario cost: 111256.1398228247999213635921478271484375 optimization time for scenario: 34 = 0.040030002593994140625 scenario cost: 98722.3164833073387853801250457763671875 Optimization Status: 2 scenario cost: 98722.3164833073387853801250457763671875 optimization time for scenario: 35 = 0.0414359569549560546875 scenario cost: 83305.421966761859948746860027313232421875 Optimization Status: 2 scenario cost: 83305.421966761859948746860027313232421875 optimization time for scenario: 36 = 0.0289351940155029296875 scenario cost: 91991.423319545443519018590450286865234375 Optimization Status: 2 scenario cost: 91991.423319545443519018590450286865234375 optimization time for scenario: 37 = 0.024777889251708984375 scenario cost: 102702.935655872817733325064182281494140625 Optimization Status: 2 scenario cost: 102702.935655872817733325064182281494140625 optimization time for scenario: 38 = 0.0248348712921142578125 scenario cost: 91720.57952015774208121001720428466796875 Optimization Status: 2 scenario cost: 91720.57952015774208121001720428466796875 optimization time for scenario: 39 = 0.0225429534912109375 Sending cuts of back to the stg 1 solver Objective Value 16015.362356033007017686031758785247802734375 memory usage: 112190824 received node: gen cut: Rental Cost 0 scenario cost: 90870.820505907220649532973766326904296875 Optimization Status: 2 scenario cost: 90870.820505907220649532973766326904296875 optimization time for scenario: 20 = 0.0394961833953857421875 scenario cost: 81025.608044183769379742443561553955078125 Optimization Status: 2 scenario cost: 81025.608044183769379742443561553955078125 optimization time for scenario: 21 = 0.0396959781646728515625 scenario cost: 81413.889255285102990455925464630126953125 Optimization Status: 2 scenario cost: 81413.889255285102990455925464630126953125 optimization time for scenario: 22 = 0.0366380214691162109375 scenario cost: 90311.438596804146072827279567718505859375 Optimization Status: 2 scenario cost: 90311.438596804146072827279567718505859375 optimization time for scenario: 23 = 0.0364592075347900390625 scenario cost: 74897.344968960547703318297863006591796875 Optimization Status: 2 scenario cost: 74897.344968960547703318297863006591796875 optimization time for scenario: 24 = 0.0398499965667724609375 scenario cost: 90227.08882510397234000265598297119140625 Optimization Status: 2 scenario cost: 90227.08882510397234000265598297119140625 optimization time for scenario: 25 = 0.0387401580810546875 scenario cost: 81115.925358666092506609857082366943359375 Optimization Status: 2 scenario cost: 81115.925358666092506609857082366943359375 optimization time for scenario: 26 = 0.0690920352935791015625 scenario cost: 83708.017651067231781780719757080078125 Optimization Status: 2 scenario cost: 83708.017651067231781780719757080078125 optimization time for scenario: 27 = 0.0904629230499267578125 scenario cost: 95348.09476707500289194285869598388671875 Optimization Status: 2 scenario cost: 95348.09476707500289194285869598388671875 optimization time for scenario: 28 = 0.0874760150909423828125 scenario cost: 86573.385485756953130476176738739013671875 Optimization Status: 2 scenario cost: 86573.385485756953130476176738739013671875 optimization time for scenario: 29 = 0.0782470703125 scenario cost: 113076.84351192243047989904880523681640625 Optimization Status: 2 scenario cost: 113076.84351192243047989904880523681640625 optimization time for scenario: 30 = 0.07997608184814453125 scenario cost: 92155.979868587819510139524936676025390625 Optimization Status: 2 scenario cost: 92155.979868587819510139524936676025390625 optimization time for scenario: 31 = 0.0730350017547607421875 scenario cost: 103965.00190537373418919742107391357421875 Optimization Status: 2 scenario cost: 103965.00190537373418919742107391357421875 optimization time for scenario: 32 = 0.0753090381622314453125 scenario cost: 98895.262814263769541867077350616455078125 Optimization Status: 2 scenario cost: 98895.262814263769541867077350616455078125 optimization time for scenario: 33 = 0.0623328685760498046875 scenario cost: 99056.746470302736270241439342498779296875 Optimization Status: 2 scenario cost: 99056.746470302736270241439342498779296875 optimization time for scenario: 34 = 0.0786979198455810546875 scenario cost: 92909.897125393807073123753070831298828125 Optimization Status: 2 scenario cost: 92909.897125393807073123753070831298828125 optimization time for scenario: 35 = 0.078649997711181640625 scenario cost: 78869.5552326301694847643375396728515625 Optimization Status: 2 scenario cost: 78869.5552326301694847643375396728515625 optimization time for scenario: 36 = 0.05185794830322265625 scenario cost: 87585.26552236432326026260852813720703125 Optimization Status: 2 scenario cost: 87585.26552236432326026260852813720703125 optimization time for scenario: 37 = 0.0363559722900390625 scenario cost: 96379.31151688718819059431552886962890625 Optimization Status: 2 scenario cost: 96379.31151688718819059431552886962890625 optimization time for scenario: 38 = 0.0305168628692626953125 scenario cost: 86055.31509207570343278348445892333984375 Optimization Status: 2 scenario cost: 86055.31509207570343278348445892333984375 optimization time for scenario: 39 = 0.0239508152008056640625 Sending cuts of back to the stg 1 solver Objective Value 15036.946456295345342368818819522857666015625 memory usage: 112192344 received node: gen cut: Rental Cost 0 scenario cost: 98026.548107409922522492706775665283203125 Optimization Status: 2 scenario cost: 98026.548107409922522492706775665283203125 optimization time for scenario: 20 = 0.07892704010009765625 scenario cost: 87371.172036880510859191417694091796875 Optimization Status: 2 scenario cost: 87371.172036880510859191417694091796875 optimization time for scenario: 21 = 0.0390059947967529296875 scenario cost: 86102.167755502698128111660480499267578125 Optimization Status: 2 scenario cost: 86102.167755502698128111660480499267578125 optimization time for scenario: 22 = 0.0356349945068359375 scenario cost: 91891.11080903673428110778331756591796875 Optimization Status: 2 scenario cost: 91891.11080903673428110778331756591796875 optimization time for scenario: 23 = 0.038967132568359375 scenario cost: 77563.10211117935250513255596160888671875 Optimization Status: 2 scenario cost: 77563.10211117935250513255596160888671875 optimization time for scenario: 24 = 0.0356948375701904296875 scenario cost: 98560.9822329072630964219570159912109375 Optimization Status: 2 scenario cost: 98560.9822329072630964219570159912109375 optimization time for scenario: 25 = 0.1011447906494140625 scenario cost: 84426.86406971022370271384716033935546875 Optimization Status: 2 scenario cost: 84426.86406971022370271384716033935546875 optimization time for scenario: 26 = 0.0369548797607421875 scenario cost: 94008.9044116710429079830646514892578125 Optimization Status: 2 scenario cost: 94008.9044116710429079830646514892578125 optimization time for scenario: 27 = 0.0629160404205322265625 scenario cost: 104412.982401285509695298969745635986328125 Optimization Status: 2 scenario cost: 104412.982401285509695298969745635986328125 optimization time for scenario: 28 = 0.074553966522216796875 scenario cost: 96276.398611919372342526912689208984375 Optimization Status: 2 scenario cost: 96276.398611919372342526912689208984375 optimization time for scenario: 29 = 0.0740220546722412109375 scenario cost: 143022.72919399946113117039203643798828125 Optimization Status: 2 scenario cost: 143022.72919399946113117039203643798828125 optimization time for scenario: 30 = 0.0738041400909423828125 scenario cost: 104528.970465745194815099239349365234375 Optimization Status: 2 scenario cost: 104528.970465745194815099239349365234375 optimization time for scenario: 31 = 0.083405017852783203125 scenario cost: 119902.174802693843957968056201934814453125 Optimization Status: 2 scenario cost: 119902.174802693843957968056201934814453125 optimization time for scenario: 32 = 0.0823428630828857421875 scenario cost: 107583.679843082281877286732196807861328125 Optimization Status: 2 scenario cost: 107583.679843082281877286732196807861328125 optimization time for scenario: 33 = 0.080277919769287109375 scenario cost: 119548.18445280753076076507568359375 Optimization Status: 2 scenario cost: 119548.18445280753076076507568359375 optimization time for scenario: 34 = 0.074285030364990234375 scenario cost: 102710.2926953726564534008502960205078125 Optimization Status: 2 scenario cost: 102710.2926953726564534008502960205078125 optimization time for scenario: 35 = 0.0872690677642822265625 scenario cost: 86872.51141238465788774192333221435546875 Optimization Status: 2 scenario cost: 86872.51141238465788774192333221435546875 optimization time for scenario: 36 = 0.0429589748382568359375 scenario cost: 96098.003572623405489139258861541748046875 Optimization Status: 2 scenario cost: 96098.003572623405489139258861541748046875 optimization time for scenario: 37 = 0.0309979915618896484375 scenario cost: 106507.796070739175775088369846343994140625 Optimization Status: 2 scenario cost: 106507.796070739175775088369846343994140625 optimization time for scenario: 38 = 0.0217249393463134765625 scenario cost: 95537.225430412407149560749530792236328125 Optimization Status: 2 scenario cost: 95537.225430412407149560749530792236328125 optimization time for scenario: 39 = 0.0201499462127685546875 Sending cuts of back to the stg 1 solver Objective Value 16674.531639001346775330603122711181640625 memory usage: 112193864 received node: gen cut: Rental Cost 0 scenario cost: 112662.76685693368199281394481658935546875 Optimization Status: 2 scenario cost: 112662.76685693368199281394481658935546875 optimization time for scenario: 100 = 0.0443270206451416015625 scenario cost: 115428.20386960610630922019481658935546875 Optimization Status: 2 scenario cost: 115428.20386960610630922019481658935546875 optimization time for scenario: 101 = 0.043284893035888671875 scenario cost: 89791.0588317564106546342372894287109375 Optimization Status: 2 scenario cost: 89791.0588317564106546342372894287109375 optimization time for scenario: 102 = 0.04103183746337890625 scenario cost: 95132.622118646002491004765033721923828125 Optimization Status: 2 scenario cost: 95132.622118646002491004765033721923828125 optimization time for scenario: 103 = 0.0437190532684326171875 scenario cost: 92207.97544765300699509680271148681640625 Optimization Status: 2 scenario cost: 92207.97544765300699509680271148681640625 optimization time for scenario: 104 = 0.0459411144256591796875 scenario cost: 106166.38008250694838352501392364501953125 Optimization Status: 2 scenario cost: 106166.38008250694838352501392364501953125 optimization time for scenario: 105 = 0.039597988128662109375 scenario cost: 84146.256549897821969352662563323974609375 Optimization Status: 2 scenario cost: 84146.256549897821969352662563323974609375 optimization time for scenario: 106 = 0.042088985443115234375 scenario cost: 98828.35112858974025584757328033447265625 Optimization Status: 2 scenario cost: 98828.35112858974025584757328033447265625 optimization time for scenario: 107 = 0.04160213470458984375 scenario cost: 112673.219728474432486109435558319091796875 Optimization Status: 2 scenario cost: 112673.219728474432486109435558319091796875 optimization time for scenario: 108 = 0.0604000091552734375 scenario cost: 97069.92633928955183364450931549072265625 Optimization Status: 2 scenario cost: 97069.92633928955183364450931549072265625 optimization time for scenario: 109 = 0.0944278240203857421875 scenario cost: 96116.155316565374960191547870635986328125 Optimization Status: 2 scenario cost: 96116.155316565374960191547870635986328125 optimization time for scenario: 110 = 0.0846879482269287109375 scenario cost: 96911.428120736076380126178264617919921875 Optimization Status: 2 scenario cost: 96911.428120736076380126178264617919921875 optimization time for scenario: 111 = 0.08178997039794921875 scenario cost: 91491.210462615708820521831512451171875 Optimization Status: 2 scenario cost: 91491.210462615708820521831512451171875 optimization time for scenario: 112 = 0.08650112152099609375 scenario cost: 103099.07235309967654757201671600341796875 Optimization Status: 2 scenario cost: 103099.07235309967654757201671600341796875 optimization time for scenario: 113 = 0.089577198028564453125 scenario cost: 88123.4795117061003111302852630615234375 Optimization Status: 2 scenario cost: 88123.4795117061003111302852630615234375 optimization time for scenario: 114 = 0.078282833099365234375 scenario cost: 92447.516036656335927546024322509765625 Optimization Status: 2 scenario cost: 92447.516036656335927546024322509765625 optimization time for scenario: 115 = 0.0779349803924560546875 scenario cost: 97602.544370795672875829041004180908203125 Optimization Status: 2 scenario cost: 97602.544370795672875829041004180908203125 optimization time for scenario: 116 = 0.0934269428253173828125 scenario cost: 94979.73361427939380519092082977294921875 Optimization Status: 2 scenario cost: 94979.73361427939380519092082977294921875 optimization time for scenario: 117 = 0.0512030124664306640625 scenario cost: 94045.0875393445021472871303558349609375 Optimization Status: 2 scenario cost: 94045.0875393445021472871303558349609375 optimization time for scenario: 118 = 0.0413749217987060546875 scenario cost: 91238.508682873813086189329624176025390625 Optimization Status: 2 scenario cost: 91238.508682873813086189329624176025390625 optimization time for scenario: 119 = 0.025928020477294921875 Sending cuts of back to the stg 1 solver Objective Value 16251.28080263365336577408015727996826171875 memory usage: 112195384 received node: gen cut: Rental Cost 0 scenario cost: 101215.151717703774920664727687835693359375 Optimization Status: 2 scenario cost: 101215.151717703774920664727687835693359375 optimization time for scenario: 100 = 0.0833361148834228515625 scenario cost: 106043.815469009205116890370845794677734375 Optimization Status: 2 scenario cost: 106043.815469009205116890370845794677734375 optimization time for scenario: 101 = 0.0450999736785888671875 scenario cost: 86298.03640875444398261606693267822265625 Optimization Status: 2 scenario cost: 86298.03640875444398261606693267822265625 optimization time for scenario: 102 = 0.0447709560394287109375 scenario cost: 92924.534842543289414606988430023193359375 Optimization Status: 2 scenario cost: 92924.534842543289414606988430023193359375 optimization time for scenario: 103 = 0.047646045684814453125 scenario cost: 90101.1136419582180678844451904296875 Optimization Status: 2 scenario cost: 90101.1136419582180678844451904296875 optimization time for scenario: 104 = 0.0475919246673583984375 scenario cost: 100341.6534658579039387404918670654296875 Optimization Status: 2 scenario cost: 100341.6534658579039387404918670654296875 optimization time for scenario: 105 = 0.0491249561309814453125 scenario cost: 82463.2065960304462350904941558837890625 Optimization Status: 2 scenario cost: 82463.2065960304462350904941558837890625 optimization time for scenario: 106 = 0.0447380542755126953125 scenario cost: 96709.528138312380178831517696380615234375 Optimization Status: 2 scenario cost: 96709.528138312380178831517696380615234375 optimization time for scenario: 107 = 0.0891430377960205078125 scenario cost: 110085.820360251513193361461162567138671875 Optimization Status: 2 scenario cost: 110085.820360251513193361461162567138671875 optimization time for scenario: 108 = 0.1006639003753662109375 scenario cost: 96538.51081062070443294942378997802734375 Optimization Status: 2 scenario cost: 96538.51081062070443294942378997802734375 optimization time for scenario: 109 = 0.097386837005615234375 scenario cost: 93255.483891625539399683475494384765625 Optimization Status: 2 scenario cost: 93255.483891625539399683475494384765625 optimization time for scenario: 110 = 0.047257900238037109375 scenario cost: 95613.4842446162365376949310302734375 Optimization Status: 2 scenario cost: 95613.4842446162365376949310302734375 optimization time for scenario: 111 = 0.0495660305023193359375 scenario cost: 88329.567269964332808740437030792236328125 Optimization Status: 2 scenario cost: 88329.567269964332808740437030792236328125 optimization time for scenario: 112 = 0.05029201507568359375 scenario cost: 101701.410168652844731695950031280517578125 Optimization Status: 2 scenario cost: 101701.410168652844731695950031280517578125 optimization time for scenario: 113 = 0.049726963043212890625 scenario cost: 86248.232398699779878370463848114013671875 Optimization Status: 2 scenario cost: 86248.232398699779878370463848114013671875 optimization time for scenario: 114 = 0.0462958812713623046875 scenario cost: 89402.96481935106567107141017913818359375 Optimization Status: 2 scenario cost: 89402.96481935106567107141017913818359375 optimization time for scenario: 115 = 0.0486280918121337890625 scenario cost: 95962.56389681904693134129047393798828125 Optimization Status: 2 scenario cost: 95962.56389681904693134129047393798828125 optimization time for scenario: 116 = 0.065950870513916015625 scenario cost: 91115.33105478328070603311061859130859375 Optimization Status: 2 scenario cost: 91115.33105478328070603311061859130859375 optimization time for scenario: 117 = 0.095077037811279296875 scenario cost: 89970.53854156783199869096279144287109375 Optimization Status: 2 scenario cost: 89970.53854156783199869096279144287109375 optimization time for scenario: 118 = 0.0760929584503173828125 scenario cost: 87917.123538759027724154293537139892578125 Optimization Status: 2 scenario cost: 87917.123538759027724154293537139892578125 optimization time for scenario: 119 = 0.047049999237060546875 Sending cuts of back to the stg 1 solver Objective Value 15685.254519363297731615602970123291015625 memory usage: 112196904 received node: gen cut: Rental Cost 0 scenario cost: 90751.444802993777557276189327239990234375 Optimization Status: 2 scenario cost: 90751.444802993777557276189327239990234375 optimization time for scenario: 80 = 0.107924938201904296875 scenario cost: 107588.026687892837799154222011566162109375 Optimization Status: 2 scenario cost: 107588.026687892837799154222011566162109375 optimization time for scenario: 81 = 0.058628082275390625 scenario cost: 87132.943030806767637841403484344482421875 Optimization Status: 2 scenario cost: 87132.943030806767637841403484344482421875 optimization time for scenario: 82 = 0.07798099517822265625 scenario cost: 100032.543545511070988141000270843505859375 Optimization Status: 2 scenario cost: 100032.543545511070988141000270843505859375 optimization time for scenario: 83 = 0.099770069122314453125 scenario cost: 93099.6743225260288454592227935791015625 Optimization Status: 2 scenario cost: 93099.6743225260288454592227935791015625 optimization time for scenario: 84 = 0.0952360630035400390625 scenario cost: 97148.548573649328318424522876739501953125 Optimization Status: 2 scenario cost: 97148.548573649328318424522876739501953125 optimization time for scenario: 85 = 0.104857921600341796875 scenario cost: 105085.800273897708393633365631103515625 Optimization Status: 2 scenario cost: 105085.800273897708393633365631103515625 optimization time for scenario: 86 = 0.0994970798492431640625 scenario cost: 90252.174947489213082008063793182373046875 Optimization Status: 2 scenario cost: 90252.174947489213082008063793182373046875 optimization time for scenario: 87 = 0.10373401641845703125 scenario cost: 87611.159228784483275376260280609130859375 Optimization Status: 2 scenario cost: 87611.159228784483275376260280609130859375 optimization time for scenario: 88 = 0.1050570011138916015625 scenario cost: 90098.424107772894785739481449127197265625 Optimization Status: 2 scenario cost: 90098.424107772894785739481449127197265625 optimization time for scenario: 89 = 0.094422817230224609375 scenario cost: 99095.214069022214971482753753662109375 Optimization Status: 2 scenario cost: 99095.214069022214971482753753662109375 optimization time for scenario: 90 = 0.0490210056304931640625 scenario cost: 95922.274181268105166964232921600341796875 Optimization Status: 2 scenario cost: 95922.274181268105166964232921600341796875 optimization time for scenario: 91 = 0.052906036376953125 scenario cost: 94352.609153816927573643624782562255859375 Optimization Status: 2 scenario cost: 94352.609153816927573643624782562255859375 optimization time for scenario: 92 = 0.04862499237060546875 scenario cost: 110745.4016463840962387621402740478515625 Optimization Status: 2 scenario cost: 110745.4016463840962387621402740478515625 optimization time for scenario: 93 = 0.0510540008544921875 scenario cost: 99588.51084980298765003681182861328125 Optimization Status: 2 scenario cost: 99588.51084980298765003681182861328125 optimization time for scenario: 94 = 0.0507438182830810546875 scenario cost: 97445.461995244069839827716350555419921875 Optimization Status: 2 scenario cost: 97445.461995244069839827716350555419921875 optimization time for scenario: 95 = 0.047644138336181640625 scenario cost: 92611.310967177429120056331157684326171875 Optimization Status: 2 scenario cost: 92611.310967177429120056331157684326171875 optimization time for scenario: 96 = 0.04747295379638671875 scenario cost: 97337.940752416368923150002956390380859375 Optimization Status: 2 scenario cost: 97337.940752416368923150002956390380859375 optimization time for scenario: 97 = 0.0467751026153564453125 scenario cost: 100892.715015070469235070049762725830078125 Optimization Status: 2 scenario cost: 100892.715015070469235070049762725830078125 optimization time for scenario: 98 = 0.0513160228729248046875 scenario cost: 101515.253482299856841564178466796875 Optimization Status: 2 scenario cost: 101515.253482299856841564178466796875 optimization time for scenario: 99 = 0.04891490936279296875 Sending cuts of back to the stg 1 solver Objective Value 16152.497320034168296842835843563079833984375 memory usage: 112198424 received node: gen cut: Rental Cost 0 scenario cost: 96226.961697445090976543724536895751953125 Optimization Status: 2 scenario cost: 96226.961697445090976543724536895751953125 optimization time for scenario: 20 = 0.0945751667022705078125 scenario cost: 85448.860510050973971374332904815673828125 Optimization Status: 2 scenario cost: 85448.860510050973971374332904815673828125 optimization time for scenario: 21 = 0.099895000457763671875 scenario cost: 85787.371478227214538492262363433837890625 Optimization Status: 2 scenario cost: 85787.371478227214538492262363433837890625 optimization time for scenario: 22 = 0.0462310314178466796875 scenario cost: 93067.111955690008471719920635223388671875 Optimization Status: 2 scenario cost: 93067.111955690008471719920635223388671875 optimization time for scenario: 23 = 0.04417896270751953125 scenario cost: 77925.811685610460699535906314849853515625 Optimization Status: 2 scenario cost: 77925.811685610460699535906314849853515625 optimization time for scenario: 24 = 0.0472490787506103515625 scenario cost: 96703.3704650254803709685802459716796875 Optimization Status: 2 scenario cost: 96703.3704650254803709685802459716796875 optimization time for scenario: 25 = 0.05140590667724609375 scenario cost: 84046.943886000415659509599208831787109375 Optimization Status: 2 scenario cost: 84046.943886000415659509599208831787109375 optimization time for scenario: 26 = 0.0567190647125244140625 scenario cost: 92143.149892410830943845212459564208984375 Optimization Status: 2 scenario cost: 92143.149892410830943845212459564208984375 optimization time for scenario: 27 = 0.099256992340087890625 scenario cost: 102558.282422218428109772503376007080078125 Optimization Status: 2 scenario cost: 102558.282422218428109772503376007080078125 optimization time for scenario: 28 = 0.09531402587890625 scenario cost: 94391.7431006504339165985584259033203125 Optimization Status: 2 scenario cost: 94391.7431006504339165985584259033203125 optimization time for scenario: 29 = 0.09393596649169921875 scenario cost: 128517.946032480336725711822509765625 Optimization Status: 2 scenario cost: 128517.946032480336725711822509765625 optimization time for scenario: 30 = 0.114531040191650390625 scenario cost: 101934.5855101004126481711864471435546875 Optimization Status: 2 scenario cost: 101934.5855101004126481711864471435546875 optimization time for scenario: 31 = 0.0899279117584228515625 scenario cost: 114299.6419415718992240726947784423828125 Optimization Status: 2 scenario cost: 114299.6419415718992240726947784423828125 optimization time for scenario: 32 = 0.090229034423828125 scenario cost: 105718.74839898812933824956417083740234375 Optimization Status: 2 scenario cost: 105718.74839898812933824956417083740234375 optimization time for scenario: 33 = 0.091863155364990234375 scenario cost: 110014.969312310291570611298084259033203125 Optimization Status: 2 scenario cost: 110014.969312310291570611298084259033203125 optimization time for scenario: 34 = 0.045320034027099609375 scenario cost: 100876.031265269382856786251068115234375 Optimization Status: 2 scenario cost: 100876.031265269382856786251068115234375 optimization time for scenario: 35 = 0.048223018646240234375 scenario cost: 85082.5008485733415000140666961669921875 Optimization Status: 2 scenario cost: 85082.5008485733415000140666961669921875 optimization time for scenario: 36 = 0.0478351116180419921875 scenario cost: 94216.3099274242413230240345001220703125 Optimization Status: 2 scenario cost: 94216.3099274242413230240345001220703125 optimization time for scenario: 37 = 0.05019092559814453125 scenario cost: 104622.7450710781849920749664306640625 Optimization Status: 2 scenario cost: 104622.7450710781849920749664306640625 optimization time for scenario: 38 = 0.0425031185150146484375 scenario cost: 93697.09159676046692766249179840087890625 Optimization Status: 2 scenario cost: 93697.09159676046692766249179840087890625 optimization time for scenario: 39 = 0.0399379730224609375 Sending cuts of back to the stg 1 solver Objective Value 16227.2698989764830912463366985321044921875 memory usage: 112199944 received node: gen cut: Rental Cost 0 scenario cost: 87932.13886137728695757687091827392578125 Optimization Status: 2 scenario cost: 87932.13886137728695757687091827392578125 optimization time for scenario: 40 = 0.106449127197265625 scenario cost: 104084.351137953068246133625507354736328125 Optimization Status: 2 scenario cost: 104084.351137953068246133625507354736328125 optimization time for scenario: 41 = 0.1055090427398681640625 scenario cost: 91767.1499956953339278697967529296875 Optimization Status: 2 scenario cost: 91767.1499956953339278697967529296875 optimization time for scenario: 42 = 0.111299037933349609375 scenario cost: 85353.127692364083486609160900115966796875 Optimization Status: 2 scenario cost: 85353.127692364083486609160900115966796875 optimization time for scenario: 43 = 0.0846450328826904296875 scenario cost: 109461.8563760666293092072010040283203125 Optimization Status: 2 scenario cost: 109461.8563760666293092072010040283203125 optimization time for scenario: 44 = 0.0995941162109375 scenario cost: 89241.95552562663215212523937225341796875 Optimization Status: 2 scenario cost: 89241.95552562663215212523937225341796875 optimization time for scenario: 45 = 0.1118011474609375 scenario cost: 91401.58811373452772386372089385986328125 Optimization Status: 2 scenario cost: 91401.58811373452772386372089385986328125 optimization time for scenario: 46 = 0.102200031280517578125 scenario cost: 104202.2366924092057161033153533935546875 Optimization Status: 2 scenario cost: 104202.2366924092057161033153533935546875 optimization time for scenario: 47 = 0.088449001312255859375 scenario cost: 98313.735670195150305517017841339111328125 Optimization Status: 2 scenario cost: 98313.735670195150305517017841339111328125 optimization time for scenario: 48 = 0.1002562046051025390625 scenario cost: 92344.814768155643832869827747344970703125 Optimization Status: 2 scenario cost: 92344.814768155643832869827747344970703125 optimization time for scenario: 49 = 0.096600055694580078125 scenario cost: 78075.901519831400946713984012603759765625 Optimization Status: 2 scenario cost: 78075.901519831400946713984012603759765625 optimization time for scenario: 50 = 0.0675580501556396484375 scenario cost: 113972.17266075193765573203563690185546875 Optimization Status: 2 scenario cost: 113972.17266075193765573203563690185546875 optimization time for scenario: 51 = 0.04658794403076171875 scenario cost: 85141.56737805306329391896724700927734375 Optimization Status: 2 scenario cost: 85141.56737805306329391896724700927734375 optimization time for scenario: 52 = 0.051906108856201171875 scenario cost: 81285.0611206810572184622287750244140625 Optimization Status: 2 scenario cost: 81285.0611206810572184622287750244140625 optimization time for scenario: 53 = 0.0519149303436279296875 scenario cost: 79375.365727869080728851258754730224609375 Optimization Status: 2 scenario cost: 79375.365727869080728851258754730224609375 optimization time for scenario: 54 = 0.047454833984375 scenario cost: 84802.914626511614187620580196380615234375 Optimization Status: 2 scenario cost: 84802.914626511614187620580196380615234375 optimization time for scenario: 55 = 0.0502631664276123046875 scenario cost: 90079.443752359322388656437397003173828125 Optimization Status: 2 scenario cost: 90079.443752359322388656437397003173828125 optimization time for scenario: 56 = 0.050198078155517578125 scenario cost: 93560.0172914749127812683582305908203125 Optimization Status: 2 scenario cost: 93560.0172914749127812683582305908203125 optimization time for scenario: 57 = 0.0485479831695556640625 scenario cost: 94333.432307323106215335428714752197265625 Optimization Status: 2 scenario cost: 94333.432307323106215335428714752197265625 optimization time for scenario: 58 = 0.0401599407196044921875 scenario cost: 102192.154672221178770996630191802978515625 Optimization Status: 2 scenario cost: 102192.154672221178770996630191802978515625 optimization time for scenario: 59 = 0.03250789642333984375 Sending cuts of back to the stg 1 solver Objective Value 15474.27965172259064274840056896209716796875 memory usage: 112201464 received node: gen cut: Rental Cost 0 scenario cost: 81461.35984588324208743870258331298828125 Optimization Status: 2 scenario cost: 81461.35984588324208743870258331298828125 optimization time for scenario: 0 = 0.0472469329833984375 scenario cost: 88775.09040134472888894379138946533203125 Optimization Status: 2 scenario cost: 88775.09040134472888894379138946533203125 optimization time for scenario: 1 = 0.0916149616241455078125 scenario cost: 93238.102259849125402979552745819091796875 Optimization Status: 2 scenario cost: 93238.102259849125402979552745819091796875 optimization time for scenario: 2 = 0.04555416107177734375 scenario cost: 93715.1573840180062688887119293212890625 Optimization Status: 2 scenario cost: 93715.1573840180062688887119293212890625 optimization time for scenario: 3 = 0.0458581447601318359375 scenario cost: 100148.153454689323552884161472320556640625 Optimization Status: 2 scenario cost: 100148.153454689323552884161472320556640625 optimization time for scenario: 4 = 0.0685880184173583984375 scenario cost: 103852.745596028878935612738132476806640625 Optimization Status: 2 scenario cost: 103852.745596028878935612738132476806640625 optimization time for scenario: 5 = 0.1094608306884765625 scenario cost: 89895.964307591682882048189640045166015625 Optimization Status: 2 scenario cost: 89895.964307591682882048189640045166015625 optimization time for scenario: 6 = 0.1549751758575439453125 scenario cost: 90239.53420429161633364856243133544921875 Optimization Status: 2 scenario cost: 90239.53420429161633364856243133544921875 optimization time for scenario: 7 = 0.1099851131439208984375 scenario cost: 82448.581949368541245348751544952392578125 Optimization Status: 2 scenario cost: 82448.581949368541245348751544952392578125 optimization time for scenario: 8 = 0.1117870807647705078125 scenario cost: 100678.05699442353215999901294708251953125 Optimization Status: 2 scenario cost: 100678.05699442353215999901294708251953125 optimization time for scenario: 9 = 0.08670902252197265625 scenario cost: 90925.1091866742935962975025177001953125 Optimization Status: 2 scenario cost: 90925.1091866742935962975025177001953125 optimization time for scenario: 10 = 0.1073729991912841796875 scenario cost: 75613.1883145974134095013141632080078125 Optimization Status: 2 scenario cost: 75613.1883145974134095013141632080078125 optimization time for scenario: 11 = 0.108252048492431640625 scenario cost: 96313.24721838659024797379970550537109375 Optimization Status: 2 scenario cost: 96313.24721838659024797379970550537109375 optimization time for scenario: 12 = 0.0975458621978759765625 scenario cost: 93049.31811667661531828343868255615234375 Optimization Status: 2 scenario cost: 93049.31811667661531828343868255615234375 optimization time for scenario: 13 = 0.0945689678192138671875 scenario cost: 90198.652899229331524111330509185791015625 Optimization Status: 2 scenario cost: 90198.652899229331524111330509185791015625 optimization time for scenario: 14 = 0.044704914093017578125 scenario cost: 104863.883139994999510236084461212158203125 Optimization Status: 2 scenario cost: 104863.883139994999510236084461212158203125 optimization time for scenario: 15 = 0.04129791259765625 scenario cost: 89747.3327159406035207211971282958984375 Optimization Status: 2 scenario cost: 89747.3327159406035207211971282958984375 optimization time for scenario: 16 = 0.031424999237060546875 scenario cost: 85850.3097406942979432642459869384765625 Optimization Status: 2 scenario cost: 85850.3097406942979432642459869384765625 optimization time for scenario: 17 = 0.031754970550537109375 scenario cost: 106119.10823065633303485810756683349609375 Optimization Status: 2 scenario cost: 106119.10823065633303485810756683349609375 optimization time for scenario: 18 = 0.0277688503265380859375 scenario cost: 91649.703053381890640594065189361572265625 Optimization Status: 2 scenario cost: 91649.703053381890640594065189361572265625 optimization time for scenario: 19 = 0.0274369716644287109375 Sending cuts of back to the stg 1 solver Objective Value 15406.460032361041157855652272701263427734375 memory usage: 112202984 received node: gen cut: Rental Cost 0 scenario cost: 83788.73001912960899062454700469970703125 Optimization Status: 2 scenario cost: 83788.73001912960899062454700469970703125 optimization time for scenario: 0 = 0.1407611370086669921875 scenario cost: 88819.95504906171117909252643585205078125 Optimization Status: 2 scenario cost: 88819.95504906171117909252643585205078125 optimization time for scenario: 1 = 0.1087939739227294921875 scenario cost: 93345.3442849218845367431640625 Optimization Status: 2 scenario cost: 93345.3442849218845367431640625 optimization time for scenario: 2 = 0.103789806365966796875 scenario cost: 93711.015031985822133719921112060546875 Optimization Status: 2 scenario cost: 93711.015031985822133719921112060546875 optimization time for scenario: 3 = 0.0510108470916748046875 scenario cost: 100155.433430886230780743062496185302734375 Optimization Status: 2 scenario cost: 100155.433430886230780743062496185302734375 optimization time for scenario: 4 = 0.0601761341094970703125 scenario cost: 103774.44642003896296955645084381103515625 Optimization Status: 2 scenario cost: 103774.44642003896296955645084381103515625 optimization time for scenario: 5 = 0.0913040637969970703125 scenario cost: 91263.77070967017789371311664581298828125 Optimization Status: 2 scenario cost: 91263.77070967017789371311664581298828125 optimization time for scenario: 6 = 0.106112957000732421875 scenario cost: 91805.288402771446271799504756927490234375 Optimization Status: 2 scenario cost: 91805.288402771446271799504756927490234375 optimization time for scenario: 7 = 0.0953819751739501953125 scenario cost: 83850.832708912130328826606273651123046875 Optimization Status: 2 scenario cost: 83850.832708912130328826606273651123046875 optimization time for scenario: 8 = 0.0473339557647705078125 scenario cost: 100604.42225547097041271626949310302734375 Optimization Status: 2 scenario cost: 100604.42225547097041271626949310302734375 optimization time for scenario: 9 = 0.048595905303955078125 scenario cost: 91027.911687421918031759560108184814453125 Optimization Status: 2 scenario cost: 91027.911687421918031759560108184814453125 optimization time for scenario: 10 = 0.0484521389007568359375 scenario cost: 78171.171273510917671956121921539306640625 Optimization Status: 2 scenario cost: 78171.171273510917671956121921539306640625 optimization time for scenario: 11 = 0.050157070159912109375 scenario cost: 94485.6703344864654354751110076904296875 Optimization Status: 2 scenario cost: 94485.6703344864654354751110076904296875 optimization time for scenario: 12 = 0.0495460033416748046875 scenario cost: 90537.032192100668908096849918365478515625 Optimization Status: 2 scenario cost: 90537.032192100668908096849918365478515625 optimization time for scenario: 13 = 0.0487010478973388671875 scenario cost: 90379.758970946175395511090755462646484375 Optimization Status: 2 scenario cost: 90379.758970946175395511090755462646484375 optimization time for scenario: 14 = 0.0773499011993408203125 scenario cost: 104961.871822163768229074776172637939453125 Optimization Status: 2 scenario cost: 104961.871822163768229074776172637939453125 optimization time for scenario: 15 = 0.1074249744415283203125 scenario cost: 88125.05080806635669432580471038818359375 Optimization Status: 2 scenario cost: 88125.05080806635669432580471038818359375 optimization time for scenario: 16 = 0.0940940380096435546875 scenario cost: 85837.149276708034449256956577301025390625 Optimization Status: 2 scenario cost: 85837.149276708034449256956577301025390625 optimization time for scenario: 17 = 0.084391117095947265625 scenario cost: 106197.463062053997418843209743499755859375 Optimization Status: 2 scenario cost: 106197.463062053997418843209743499755859375 optimization time for scenario: 18 = 0.047522068023681640625 scenario cost: 91609.909728326936601661145687103271484375 Optimization Status: 2 scenario cost: 91609.909728326936601661145687103271484375 optimization time for scenario: 19 = 0.04349994659423828125 Sending cuts of back to the stg 1 solver Objective Value 15437.040147164365407661534845829010009765625 memory usage: 112204504 received node: gen cut: Rental Cost 0 scenario cost: 101733.000744417644455097615718841552734375 Optimization Status: 2 scenario cost: 101733.000744417644455097615718841552734375 optimization time for scenario: 20 = 0.098208904266357421875 scenario cost: 90760.29956594450050033628940582275390625 Optimization Status: 2 scenario cost: 90760.29956594450050033628940582275390625 optimization time for scenario: 21 = 0.11289119720458984375 scenario cost: 89701.522439337786636315286159515380859375 Optimization Status: 2 scenario cost: 89701.522439337786636315286159515380859375 optimization time for scenario: 22 = 0.0944850444793701171875 scenario cost: 96313.05539302455144934356212615966796875 Optimization Status: 2 scenario cost: 96313.05539302455144934356212615966796875 optimization time for scenario: 23 = 0.04743194580078125 scenario cost: 81739.419305603762040846049785614013671875 Optimization Status: 2 scenario cost: 81739.419305603762040846049785614013671875 optimization time for scenario: 24 = 0.04746723175048828125 scenario cost: 102170.100599012323073111474514007568359375 Optimization Status: 2 scenario cost: 102170.100599012323073111474514007568359375 optimization time for scenario: 25 = 0.0620820522308349609375 scenario cost: 88242.6268844421138055622577667236328125 Optimization Status: 2 scenario cost: 88242.6268844421138055622577667236328125 optimization time for scenario: 26 = 0.101894855499267578125 scenario cost: 97586.0531186400330625474452972412109375 Optimization Status: 2 scenario cost: 97586.0531186400330625474452972412109375 optimization time for scenario: 27 = 0.12355899810791015625 scenario cost: 108065.24895361458766274154186248779296875 Optimization Status: 2 scenario cost: 108065.24895361458766274154186248779296875 optimization time for scenario: 28 = 0.096356868743896484375 scenario cost: 99756.781996138990507461130619049072265625 Optimization Status: 2 scenario cost: 99756.781996138990507461130619049072265625 optimization time for scenario: 29 = 0.0990412235260009765625 scenario cost: 150051.97304834108217619359493255615234375 Optimization Status: 2 scenario cost: 150051.97304834108217619359493255615234375 optimization time for scenario: 30 = 0.0989749431610107421875 scenario cost: 111251.000885426634340547025203704833984375 Optimization Status: 2 scenario cost: 111251.000885426634340547025203704833984375 optimization time for scenario: 31 = 0.1011998653411865234375 scenario cost: 126519.825334649416618049144744873046875 Optimization Status: 2 scenario cost: 126519.825334649416618049144744873046875 optimization time for scenario: 32 = 0.0866029262542724609375 scenario cost: 111168.77514430900919251143932342529296875 Optimization Status: 2 scenario cost: 111168.77514430900919251143932342529296875 optimization time for scenario: 33 = 0.0869390964508056640625 scenario cost: 124803.047759496621438302099704742431640625 Optimization Status: 2 scenario cost: 124803.047759496621438302099704742431640625 optimization time for scenario: 34 = 0.0639591217041015625 scenario cost: 106350.719322320554056204855442047119140625 Optimization Status: 2 scenario cost: 106350.719322320554056204855442047119140625 optimization time for scenario: 35 = 0.053562164306640625 scenario cost: 90678.965687576812342740595340728759765625 Optimization Status: 2 scenario cost: 90678.965687576812342740595340728759765625 optimization time for scenario: 36 = 0.052875995635986328125 scenario cost: 99576.367440856876783072948455810546875 Optimization Status: 2 scenario cost: 99576.367440856876783072948455810546875 optimization time for scenario: 37 = 0.03481292724609375 scenario cost: 109988.610421581790433265268802642822265625 Optimization Status: 2 scenario cost: 109988.610421581790433265268802642822265625 optimization time for scenario: 38 = 0.028563022613525390625 scenario cost: 99148.267435797155485488474369049072265625 Optimization Status: 2 scenario cost: 99148.267435797155485488474369049072265625 optimization time for scenario: 39 = 0.0246689319610595703125 Sending cuts of back to the stg 1 solver Objective Value 17379.97765881572195212356746196746826171875 memory usage: 112206024 received node: gen cut: Rental Cost 0 scenario cost: 84544.774507295616785995662212371826171875 Optimization Status: 2 scenario cost: 84544.774507295616785995662212371826171875 optimization time for scenario: 0 = 0.0479800701141357421875 scenario cost: 92083.81685814671800471842288970947265625 Optimization Status: 2 scenario cost: 92083.81685814671800471842288970947265625 optimization time for scenario: 1 = 0.0442011356353759765625 scenario cost: 97050.89740590771543793380260467529296875 Optimization Status: 2 scenario cost: 97050.89740590771543793380260467529296875 optimization time for scenario: 2 = 0.0476720333099365234375 scenario cost: 97707.849793777437298558652400970458984375 Optimization Status: 2 scenario cost: 97707.849793777437298558652400970458984375 optimization time for scenario: 3 = 0.044643878936767578125 scenario cost: 103370.065400432082242332398891448974609375 Optimization Status: 2 scenario cost: 103370.065400432082242332398891448974609375 optimization time for scenario: 4 = 0.0469868183135986328125 scenario cost: 108122.019628216090495698153972625732421875 Optimization Status: 2 scenario cost: 108122.019628216090495698153972625732421875 optimization time for scenario: 5 = 0.0515930652618408203125 scenario cost: 93095.30714232590980827808380126953125 Optimization Status: 2 scenario cost: 93095.30714232590980827808380126953125 optimization time for scenario: 6 = 0.05856800079345703125 scenario cost: 93634.97368077785358764231204986572265625 Optimization Status: 2 scenario cost: 93634.97368077785358764231204986572265625 optimization time for scenario: 7 = 0.0940039157867431640625 scenario cost: 85793.6172601149301044642925262451171875 Optimization Status: 2 scenario cost: 85793.6172601149301044642925262451171875 optimization time for scenario: 8 = 0.095220088958740234375 scenario cost: 105115.7797255539917387068271636962890625 Optimization Status: 2 scenario cost: 105115.7797255539917387068271636962890625 optimization time for scenario: 9 = 0.1308581829071044921875 scenario cost: 94319.48819992374046705663204193115234375 Optimization Status: 2 scenario cost: 94319.48819992374046705663204193115234375 optimization time for scenario: 10 = 0.09278011322021484375 scenario cost: 78661.037745052584796212613582611083984375 Optimization Status: 2 scenario cost: 78661.037745052584796212613582611083984375 optimization time for scenario: 11 = 0.102223873138427734375 scenario cost: 100682.2638804006273858249187469482421875 Optimization Status: 2 scenario cost: 100682.2638804006273858249187469482421875 optimization time for scenario: 12 = 0.1043579578399658203125 scenario cost: 96937.795360975185758434236049652099609375 Optimization Status: 2 scenario cost: 96937.795360975185758434236049652099609375 optimization time for scenario: 13 = 0.0689170360565185546875 scenario cost: 94056.0543486518436111509799957275390625 Optimization Status: 2 scenario cost: 94056.0543486518436111509799957275390625 optimization time for scenario: 14 = 0.0437641143798828125 scenario cost: 108637.20334267409634776413440704345703125 Optimization Status: 2 scenario cost: 108637.20334267409634776413440704345703125 optimization time for scenario: 15 = 0.0460798740386962890625 scenario cost: 94269.172682604592409916222095489501953125 Optimization Status: 2 scenario cost: 94269.172682604592409916222095489501953125 optimization time for scenario: 16 = 0.0445010662078857421875 scenario cost: 90416.513093013447360135614871978759765625 Optimization Status: 2 scenario cost: 90416.513093013447360135614871978759765625 optimization time for scenario: 17 = 0.0476398468017578125 scenario cost: 110179.074791496837860904633998870849609375 Optimization Status: 2 scenario cost: 110179.074791496837860904633998870849609375 optimization time for scenario: 18 = 0.0446779727935791015625 scenario cost: 94807.741153541035600937902927398681640625 Optimization Status: 2 scenario cost: 94807.741153541035600937902927398681640625 optimization time for scenario: 19 = 0.046948909759521484375 Sending cuts of back to the stg 1 solver Objective Value 16028.981267159155322588048875331878662109375 memory usage: 112207544 received node: gen cut: Rental Cost 0 scenario cost: 96310.478139041806571185588836669921875 Optimization Status: 2 scenario cost: 96310.478139041806571185588836669921875 optimization time for scenario: 20 = 0.047750949859619140625 scenario cost: 86159.18195671099238097667694091796875 Optimization Status: 2 scenario cost: 86159.18195671099238097667694091796875 optimization time for scenario: 21 = 0.050241947174072265625 scenario cost: 84368.6839410637621767818927764892578125 Optimization Status: 2 scenario cost: 84368.6839410637621767818927764892578125 optimization time for scenario: 22 = 0.117721080780029296875 scenario cost: 93252.34446232553455047309398651123046875 Optimization Status: 2 scenario cost: 93252.34446232553455047309398651123046875 optimization time for scenario: 23 = 0.09442996978759765625 scenario cost: 77831.013809108757413923740386962890625 Optimization Status: 2 scenario cost: 77831.013809108757413923740386962890625 optimization time for scenario: 24 = 0.1190049648284912109375 scenario cost: 96396.11596777124213986098766326904296875 Optimization Status: 2 scenario cost: 96396.11596777124213986098766326904296875 optimization time for scenario: 25 = 0.093266010284423828125 scenario cost: 84445.146195764464209787547588348388671875 Optimization Status: 2 scenario cost: 84445.146195764464209787547588348388671875 optimization time for scenario: 26 = 0.1167218685150146484375 scenario cost: 90517.26728741088300012052059173583984375 Optimization Status: 2 scenario cost: 90517.26728741088300012052059173583984375 optimization time for scenario: 27 = 0.1124570369720458984375 scenario cost: 101525.860711931731202639639377593994140625 Optimization Status: 2 scenario cost: 101525.860711931731202639639377593994140625 optimization time for scenario: 28 = 0.1011559963226318359375 scenario cost: 92752.738383205243735574185848236083984375 Optimization Status: 2 scenario cost: 92752.738383205243735574185848236083984375 optimization time for scenario: 29 = 0.11215305328369140625 scenario cost: 123187.28782303282059729099273681640625 Optimization Status: 2 scenario cost: 123187.28782303282059729099273681640625 optimization time for scenario: 30 = 0.0993468761444091796875 scenario cost: 100140.265036200391477905213832855224609375 Optimization Status: 2 scenario cost: 100140.265036200391477905213832855224609375 optimization time for scenario: 31 = 0.09762096405029296875 scenario cost: 112526.238720132547314278781414031982421875 Optimization Status: 2 scenario cost: 112526.238720132547314278781414031982421875 optimization time for scenario: 32 = 0.0899159908294677734375 scenario cost: 104948.196306064375676214694976806640625 Optimization Status: 2 scenario cost: 104948.196306064375676214694976806640625 optimization time for scenario: 33 = 0.0762798786163330078125 scenario cost: 108207.04215918923728168010711669921875 Optimization Status: 2 scenario cost: 108207.04215918923728168010711669921875 optimization time for scenario: 34 = 0.038127899169921875 scenario cost: 99112.8471300852834247052669525146484375 Optimization Status: 2 scenario cost: 99112.8471300852834247052669525146484375 optimization time for scenario: 35 = 0.03475189208984375 scenario cost: 84222.044089443239499814808368682861328125 Optimization Status: 2 scenario cost: 84222.044089443239499814808368682861328125 optimization time for scenario: 36 = 0.0319750308990478515625 scenario cost: 93467.340227175081963650882244110107421875 Optimization Status: 2 scenario cost: 93467.340227175081963650882244110107421875 optimization time for scenario: 37 = 0.03022289276123046875 scenario cost: 102851.20193908023065887391567230224609375 Optimization Status: 2 scenario cost: 102851.20193908023065887391567230224609375 optimization time for scenario: 38 = 0.03347110748291015625 scenario cost: 91984.94764223598758690059185028076171875 Optimization Status: 2 scenario cost: 91984.94764223598758690059185028076171875 optimization time for scenario: 39 = 0.055500030517578125 Sending cuts of back to the stg 1 solver Objective Value 16034.987875850047203130088746547698974609375 memory usage: 112209064 received node: gen cut: Rental Cost 0 scenario cost: 91845.070074453527922742068767547607421875 Optimization Status: 2 scenario cost: 91845.070074453527922742068767547607421875 optimization time for scenario: 40 = 0.094982147216796875 scenario cost: 108133.592880146359675563871860504150390625 Optimization Status: 2 scenario cost: 108133.592880146359675563871860504150390625 optimization time for scenario: 41 = 0.06365299224853515625 scenario cost: 95986.613999220659025013446807861328125 Optimization Status: 2 scenario cost: 95986.613999220659025013446807861328125 optimization time for scenario: 42 = 0.050776958465576171875 scenario cost: 89588.033261908523854799568653106689453125 Optimization Status: 2 scenario cost: 89588.033261908523854799568653106689453125 optimization time for scenario: 43 = 0.0475981235504150390625 scenario cost: 113726.458540736857685260474681854248046875 Optimization Status: 2 scenario cost: 113726.458540736857685260474681854248046875 optimization time for scenario: 44 = 0.0495641231536865234375 scenario cost: 93577.515817014107597060501575469970703125 Optimization Status: 2 scenario cost: 93577.515817014107597060501575469970703125 optimization time for scenario: 45 = 0.04954814910888671875 scenario cost: 95434.04262239355011843144893646240234375 Optimization Status: 2 scenario cost: 95434.04262239355011843144893646240234375 optimization time for scenario: 46 = 0.0859749317169189453125 scenario cost: 108758.67064335345639847218990325927734375 Optimization Status: 2 scenario cost: 108758.67064335345639847218990325927734375 optimization time for scenario: 47 = 0.1017839908599853515625 scenario cost: 102553.4549295671167783439159393310546875 Optimization Status: 2 scenario cost: 102553.4549295671167783439159393310546875 optimization time for scenario: 48 = 0.10083103179931640625 scenario cost: 96262.84157914193929173052310943603515625 Optimization Status: 2 scenario cost: 96262.84157914193929173052310943603515625 optimization time for scenario: 49 = 0.096910953521728515625 scenario cost: 81998.027276406486635096371173858642578125 Optimization Status: 2 scenario cost: 81998.027276406486635096371173858642578125 optimization time for scenario: 50 = 0.0514700412750244140625 scenario cost: 119153.725200301341828890144824981689453125 Optimization Status: 2 scenario cost: 119153.725200301341828890144824981689453125 optimization time for scenario: 51 = 0.0502889156341552734375 scenario cost: 89258.77325884680612944066524505615234375 Optimization Status: 2 scenario cost: 89258.77325884680612944066524505615234375 optimization time for scenario: 52 = 0.0506260395050048828125 scenario cost: 85577.1864213018561713397502899169921875 Optimization Status: 2 scenario cost: 85577.1864213018561713397502899169921875 optimization time for scenario: 53 = 0.0514278411865234375 scenario cost: 83252.00944453050033189356327056884765625 Optimization Status: 2 scenario cost: 83252.00944453050033189356327056884765625 optimization time for scenario: 54 = 0.0505249500274658203125 scenario cost: 89469.411197275971062481403350830078125 Optimization Status: 2 scenario cost: 89469.411197275971062481403350830078125 optimization time for scenario: 55 = 0.0517179965972900390625 scenario cost: 93952.48290640790946781635284423828125 Optimization Status: 2 scenario cost: 93952.48290640790946781635284423828125 optimization time for scenario: 56 = 0.092007160186767578125 scenario cost: 97787.965545728220604360103607177734375 Optimization Status: 2 scenario cost: 97787.965545728220604360103607177734375 optimization time for scenario: 57 = 0.1045310497283935546875 scenario cost: 98621.18200816816533915698528289794921875 Optimization Status: 2 scenario cost: 98621.18200816816533915698528289794921875 optimization time for scenario: 58 = 0.09455394744873046875 scenario cost: 106435.742631273358711041510105133056640625 Optimization Status: 2 scenario cost: 106435.742631273358711041510105133056640625 optimization time for scenario: 59 = 0.04640293121337890625 Sending cuts of back to the stg 1 solver Objective Value 16178.041956224797104368917644023895263671875 memory usage: 112210584 received node: gen cut: Rental Cost 0 scenario cost: 81506.748108250394579954445362091064453125 Optimization Status: 2 scenario cost: 81506.748108250394579954445362091064453125 optimization time for scenario: 0 = 0.111606121063232421875 scenario cost: 86710.87413658041623421013355255126953125 Optimization Status: 2 scenario cost: 86710.87413658041623421013355255126953125 optimization time for scenario: 1 = 0.1197760105133056640625 scenario cost: 90961.3450933301937766373157501220703125 Optimization Status: 2 scenario cost: 90961.3450933301937766373157501220703125 optimization time for scenario: 2 = 0.1094281673431396484375 scenario cost: 91395.9423437375226058065891265869140625 Optimization Status: 2 scenario cost: 91395.9423437375226058065891265869140625 optimization time for scenario: 3 = 0.083114147186279296875 scenario cost: 97643.815199953518458642065525054931640625 Optimization Status: 2 scenario cost: 97643.815199953518458642065525054931640625 optimization time for scenario: 4 = 0.0974900722503662109375 scenario cost: 101563.264410164018045179545879364013671875 Optimization Status: 2 scenario cost: 101563.264410164018045179545879364013671875 optimization time for scenario: 5 = 0.0989520549774169921875 scenario cost: 88907.891465341977891512215137481689453125 Optimization Status: 2 scenario cost: 88907.891465341977891512215137481689453125 optimization time for scenario: 6 = 0.0641911029815673828125 scenario cost: 89371.66798392139025963842868804931640625 Optimization Status: 2 scenario cost: 89371.66798392139025963842868804931640625 optimization time for scenario: 7 = 0.05154895782470703125 scenario cost: 81424.371512006153352558612823486328125 Optimization Status: 2 scenario cost: 81424.371512006153352558612823486328125 optimization time for scenario: 8 = 0.049827098846435546875 scenario cost: 98016.956933968656812794506549835205078125 Optimization Status: 2 scenario cost: 98016.956933968656812794506549835205078125 optimization time for scenario: 9 = 0.053822040557861328125 scenario cost: 88649.78334357964922674000263214111328125 Optimization Status: 2 scenario cost: 88649.78334357964922674000263214111328125 optimization time for scenario: 10 = 0.0531718730926513671875 scenario cost: 75576.232534239999949932098388671875 Optimization Status: 2 scenario cost: 75576.232534239999949932098388671875 optimization time for scenario: 11 = 0.0508148670196533203125 scenario cost: 92028.1091643015970475971698760986328125 Optimization Status: 2 scenario cost: 92028.1091643015970475971698760986328125 optimization time for scenario: 12 = 0.0493690967559814453125 scenario cost: 88331.1581755634979344904422760009765625 Optimization Status: 2 scenario cost: 88331.1581755634979344904422760009765625 optimization time for scenario: 13 = 0.0488660335540771484375 scenario cost: 88482.76818876372999511659145355224609375 Optimization Status: 2 scenario cost: 88482.76818876372999511659145355224609375 optimization time for scenario: 14 = 0.052525997161865234375 scenario cost: 102541.4707843217183835804462432861328125 Optimization Status: 2 scenario cost: 102541.4707843217183835804462432861328125 optimization time for scenario: 15 = 0.051702976226806640625 scenario cost: 85727.1181931133032776415348052978515625 Optimization Status: 2 scenario cost: 85727.1181931133032776415348052978515625 optimization time for scenario: 16 = 0.048943042755126953125 scenario cost: 83805.94255684959352947771549224853515625 Optimization Status: 2 scenario cost: 83805.94255684959352947771549224853515625 optimization time for scenario: 17 = 0.051186084747314453125 scenario cost: 103867.6877934446674771606922149658203125 Optimization Status: 2 scenario cost: 103867.6877934446674771606922149658203125 optimization time for scenario: 18 = 0.05095195770263671875 scenario cost: 89092.238737857915111817419528961181640625 Optimization Status: 2 scenario cost: 89092.238737857915111817419528961181640625 optimization time for scenario: 19 = 0.05068111419677734375 Sending cuts of back to the stg 1 solver Objective Value 15046.651368647862909710966050624847412109375 memory usage: 112212104 received node: gen cut: Rental Cost 0 scenario cost: 99143.421306934396852739155292510986328125 Optimization Status: 2 scenario cost: 99143.421306934396852739155292510986328125 optimization time for scenario: 60 = 0.0594580173492431640625 scenario cost: 82433.29298757031210698187351226806640625 Optimization Status: 2 scenario cost: 82433.29298757031210698187351226806640625 optimization time for scenario: 61 = 0.0544869899749755859375 scenario cost: 84204.058696392850833944976329803466796875 Optimization Status: 2 scenario cost: 84204.058696392850833944976329803466796875 optimization time for scenario: 62 = 0.0554521083831787109375 scenario cost: 84972.14744318238808773458003997802734375 Optimization Status: 2 scenario cost: 84972.14744318238808773458003997802734375 optimization time for scenario: 63 = 0.0538730621337890625 scenario cost: 100024.721294664879678748548030853271484375 Optimization Status: 2 scenario cost: 100024.721294664879678748548030853271484375 optimization time for scenario: 64 = 0.0544860363006591796875 scenario cost: 101069.88859135753591544926166534423828125 Optimization Status: 2 scenario cost: 101069.88859135753591544926166534423828125 optimization time for scenario: 65 = 0.051930904388427734375 scenario cost: 92342.594788095433614216744899749755859375 Optimization Status: 2 scenario cost: 92342.594788095433614216744899749755859375 optimization time for scenario: 66 = 0.0748500823974609375 scenario cost: 85317.55404483983875252306461334228515625 Optimization Status: 2 scenario cost: 85317.55404483983875252306461334228515625 optimization time for scenario: 67 = 0.1168730258941650390625 scenario cost: 85434.020914940410875715315341949462890625 Optimization Status: 2 scenario cost: 85434.020914940410875715315341949462890625 optimization time for scenario: 68 = 0.1192548274993896484375 scenario cost: 89620.89739333410398103296756744384765625 Optimization Status: 2 scenario cost: 89620.89739333410398103296756744384765625 optimization time for scenario: 69 = 0.065673828125 scenario cost: 82031.341665173807996325194835662841796875 Optimization Status: 2 scenario cost: 82031.341665173807996325194835662841796875 optimization time for scenario: 70 = 0.0553739070892333984375 scenario cost: 104551.7573872241191565990447998046875 Optimization Status: 2 scenario cost: 104551.7573872241191565990447998046875 optimization time for scenario: 71 = 0.0549681186676025390625 scenario cost: 99014.78448995834332890808582305908203125 Optimization Status: 2 scenario cost: 99014.78448995834332890808582305908203125 optimization time for scenario: 72 = 0.0561869144439697265625 scenario cost: 99540.531920830384478904306888580322265625 Optimization Status: 2 scenario cost: 99540.531920830384478904306888580322265625 optimization time for scenario: 73 = 0.0506670475006103515625 scenario cost: 86015.739237296467763371765613555908203125 Optimization Status: 2 scenario cost: 86015.739237296467763371765613555908203125 optimization time for scenario: 74 = 0.0561370849609375 scenario cost: 103035.146074512085760943591594696044921875 Optimization Status: 2 scenario cost: 103035.146074512085760943591594696044921875 optimization time for scenario: 75 = 0.1028530597686767578125 scenario cost: 91638.128128281721728853881359100341796875 Optimization Status: 2 scenario cost: 91638.128128281721728853881359100341796875 optimization time for scenario: 76 = 0.0997359752655029296875 scenario cost: 93843.8287153918645344674587249755859375 Optimization Status: 2 scenario cost: 93843.8287153918645344674587249755859375 optimization time for scenario: 77 = 0.114554882049560546875 scenario cost: 89978.358627747395075857639312744140625 Optimization Status: 2 scenario cost: 89978.358627747395075857639312744140625 optimization time for scenario: 78 = 0.1007878780364990234375 scenario cost: 86998.219384255717159248888492584228515625 Optimization Status: 2 scenario cost: 86998.219384255717159248888492584228515625 optimization time for scenario: 79 = 0.0751130580902099609375 Sending cuts of back to the stg 1 solver Objective Value 15343.358902085428780992515385150909423828125 memory usage: 112213624 received node: gen cut: Rental Cost 0 scenario cost: 88936.095696793054230511188507080078125 Optimization Status: 2 scenario cost: 88936.095696793054230511188507080078125 optimization time for scenario: 80 = 0.0533630847930908203125 scenario cost: 106061.3593575437553226947784423828125 Optimization Status: 2 scenario cost: 106061.3593575437553226947784423828125 optimization time for scenario: 81 = 0.0521719455718994140625 scenario cost: 85603.59723115616361610591411590576171875 Optimization Status: 2 scenario cost: 85603.59723115616361610591411590576171875 optimization time for scenario: 82 = 0.0572540760040283203125 scenario cost: 99409.446062223098124377429485321044921875 Optimization Status: 2 scenario cost: 99409.446062223098124377429485321044921875 optimization time for scenario: 83 = 0.050734996795654296875 scenario cost: 90189.379566651143250055611133575439453125 Optimization Status: 2 scenario cost: 90189.379566651143250055611133575439453125 optimization time for scenario: 84 = 0.0556781291961669921875 scenario cost: 95595.717343848707969300448894500732421875 Optimization Status: 2 scenario cost: 95595.717343848707969300448894500732421875 optimization time for scenario: 85 = 0.0511188507080078125 scenario cost: 103446.919280729707679711282253265380859375 Optimization Status: 2 scenario cost: 103446.919280729707679711282253265380859375 optimization time for scenario: 86 = 0.069245815277099609375 scenario cost: 87783.53979039014666341245174407958984375 Optimization Status: 2 scenario cost: 87783.53979039014666341245174407958984375 optimization time for scenario: 87 = 0.1154978275299072265625 scenario cost: 85765.01311832564533688127994537353515625 Optimization Status: 2 scenario cost: 85765.01311832564533688127994537353515625 optimization time for scenario: 88 = 0.0995090007781982421875 scenario cost: 87223.366923314388259314000606536865234375 Optimization Status: 2 scenario cost: 87223.366923314388259314000606536865234375 optimization time for scenario: 89 = 0.1237809658050537109375 scenario cost: 96246.57658785351668484508991241455078125 Optimization Status: 2 scenario cost: 96246.57658785351668484508991241455078125 optimization time for scenario: 90 = 0.146914958953857421875 scenario cost: 93984.03337498792097903788089752197265625 Optimization Status: 2 scenario cost: 93984.03337498792097903788089752197265625 optimization time for scenario: 91 = 0.1687009334564208984375 scenario cost: 93222.093991568704950623214244842529296875 Optimization Status: 2 scenario cost: 93222.093991568704950623214244842529296875 optimization time for scenario: 92 = 0.1190891265869140625 scenario cost: 108804.19503789264126680791378021240234375 Optimization Status: 2 scenario cost: 108804.19503789264126680791378021240234375 optimization time for scenario: 93 = 0.113954067230224609375 scenario cost: 97816.410162751373718492686748504638671875 Optimization Status: 2 scenario cost: 97816.410162751373718492686748504638671875 optimization time for scenario: 94 = 0.1071240901947021484375 scenario cost: 95881.675348174641840159893035888671875 Optimization Status: 2 scenario cost: 95881.675348174641840159893035888671875 optimization time for scenario: 95 = 0.077886104583740234375 scenario cost: 89598.064405937635456211864948272705078125 Optimization Status: 2 scenario cost: 89598.064405937635456211864948272705078125 optimization time for scenario: 96 = 0.0521910190582275390625 scenario cost: 95394.685218115933821536600589752197265625 Optimization Status: 2 scenario cost: 95394.685218115933821536600589752197265625 optimization time for scenario: 97 = 0.048327922821044921875 scenario cost: 98856.303017020065453834831714630126953125 Optimization Status: 2 scenario cost: 98856.303017020065453834831714630126953125 optimization time for scenario: 98 = 0.04716014862060546875 scenario cost: 99651.427125746980891562998294830322265625 Optimization Status: 2 scenario cost: 99651.427125746980891562998294830322265625 optimization time for scenario: 99 = 0.0325219631195068359375 Sending cuts of back to the stg 1 solver Objective Value 15828.852506345256188069470226764678955078125 memory usage: 112215144 received node: gen cut: Rental Cost 0 scenario cost: 93531.45758579546236433088779449462890625 Optimization Status: 2 scenario cost: 93531.45758579546236433088779449462890625 optimization time for scenario: 20 = 0.1602919101715087890625 scenario cost: 83025.286522764290566556155681610107421875 Optimization Status: 2 scenario cost: 83025.286522764290566556155681610107421875 optimization time for scenario: 21 = 0.1166019439697265625 scenario cost: 82577.912595457441057078540325164794921875 Optimization Status: 2 scenario cost: 82577.912595457441057078540325164794921875 optimization time for scenario: 22 = 0.1135981082916259765625 scenario cost: 91364.488286154853994958102703094482421875 Optimization Status: 2 scenario cost: 91364.488286154853994958102703094482421875 optimization time for scenario: 23 = 0.1004178524017333984375 scenario cost: 76079.50174632543348707258701324462890625 Optimization Status: 2 scenario cost: 76079.50174632543348707258701324462890625 optimization time for scenario: 24 = 0.1134541034698486328125 scenario cost: 93287.269347198031027801334857940673828125 Optimization Status: 2 scenario cost: 93287.269347198031027801334857940673828125 optimization time for scenario: 25 = 0.119372844696044921875 scenario cost: 82511.354684029050986282527446746826171875 Optimization Status: 2 scenario cost: 82511.354684029050986282527446746826171875 optimization time for scenario: 26 = 0.1143062114715576171875 scenario cost: 86367.713579613468027673661708831787109375 Optimization Status: 2 scenario cost: 86367.713579613468027673661708831787109375 optimization time for scenario: 27 = 0.100678920745849609375 scenario cost: 98570.784770258804201148450374603271484375 Optimization Status: 2 scenario cost: 98570.784770258804201148450374603271484375 optimization time for scenario: 28 = 0.1132781505584716796875 scenario cost: 89634.15832214246620424091815948486328125 Optimization Status: 2 scenario cost: 89634.15832214246620424091815948486328125 optimization time for scenario: 29 = 0.1029050350189208984375 scenario cost: 118896.038142321180202998220920562744140625 Optimization Status: 2 scenario cost: 118896.038142321180202998220920562744140625 optimization time for scenario: 30 = 0.0978679656982421875 scenario cost: 95823.997139603481628000736236572265625 Optimization Status: 2 scenario cost: 95823.997139603481628000736236572265625 optimization time for scenario: 31 = 0.0671799182891845703125 scenario cost: 108229.83261255049728788435459136962890625 Optimization Status: 2 scenario cost: 108229.83261255049728788435459136962890625 optimization time for scenario: 32 = 0.0509798526763916015625 scenario cost: 102001.0824897463317029178142547607421875 Optimization Status: 2 scenario cost: 102001.0824897463317029178142547607421875 optimization time for scenario: 33 = 0.0522289276123046875 scenario cost: 103878.071414810721762478351593017578125 Optimization Status: 2 scenario cost: 103878.071414810721762478351593017578125 optimization time for scenario: 34 = 0.049149036407470703125 scenario cost: 96003.509678813265054486691951751708984375 Optimization Status: 2 scenario cost: 96003.509678813265054486691951751708984375 optimization time for scenario: 35 = 0.04837894439697265625 scenario cost: 81326.323601384603534825146198272705078125 Optimization Status: 2 scenario cost: 81326.323601384603534825146198272705078125 optimization time for scenario: 36 = 0.0471379756927490234375 scenario cost: 90480.4872338551213033497333526611328125 Optimization Status: 2 scenario cost: 90480.4872338551213033497333526611328125 optimization time for scenario: 37 = 0.04815196990966796875 scenario cost: 99306.223368519204086624085903167724609375 Optimization Status: 2 scenario cost: 99306.223368519204086624085903167724609375 optimization time for scenario: 38 = 0.0401451587677001953125 scenario cost: 89066.255869685919606126844882965087890625 Optimization Status: 2 scenario cost: 89066.255869685919606126844882965087890625 optimization time for scenario: 39 = 0.028831005096435546875 Sending cuts of back to the stg 1 solver Objective Value 15516.28584286694604088552296161651611328125 memory usage: 112216664 received node: gen cut: Rental Cost 0 scenario cost: 79116.608280802654917351901531219482421875 Optimization Status: 2 scenario cost: 79116.608280802654917351901531219482421875 optimization time for scenario: 0 = 0.1006839275360107421875 scenario cost: 85425.68602939482661895453929901123046875 Optimization Status: 2 scenario cost: 85425.68602939482661895453929901123046875 optimization time for scenario: 1 = 0.127170085906982421875 scenario cost: 89829.33065389507100917398929595947265625 Optimization Status: 2 scenario cost: 89829.33065389507100917398929595947265625 optimization time for scenario: 2 = 0.1143300533294677734375 scenario cost: 90212.807326861846377141773700714111328125 Optimization Status: 2 scenario cost: 90212.807326861846377141773700714111328125 optimization time for scenario: 3 = 0.1017971038818359375 scenario cost: 96518.398078555357642471790313720703125 Optimization Status: 2 scenario cost: 96518.398078555357642471790313720703125 optimization time for scenario: 4 = 0.105515003204345703125 scenario cost: 100336.903340172269963659346103668212890625 Optimization Status: 2 scenario cost: 100336.903340172269963659346103668212890625 optimization time for scenario: 5 = 0.1540329456329345703125 scenario cost: 86310.6829374066437594592571258544921875 Optimization Status: 2 scenario cost: 86310.6829374066437594592571258544921875 optimization time for scenario: 6 = 0.1799209117889404296875 scenario cost: 86887.155448154895566403865814208984375 Optimization Status: 2 scenario cost: 86887.155448154895566403865814208984375 optimization time for scenario: 7 = 0.1349639892578125 scenario cost: 78830.97838413601857610046863555908203125 Optimization Status: 2 scenario cost: 78830.97838413601857610046863555908203125 optimization time for scenario: 8 = 0.129891872406005859375 scenario cost: 97021.34078016076819039881229400634765625 Optimization Status: 2 scenario cost: 97021.34078016076819039881229400634765625 optimization time for scenario: 9 = 0.1397678852081298828125 scenario cost: 87466.843752454602508805692195892333984375 Optimization Status: 2 scenario cost: 87466.843752454602508805692195892333984375 optimization time for scenario: 10 = 0.1197698116302490234375 scenario cost: 73396.350223724017268978059291839599609375 Optimization Status: 2 scenario cost: 73396.350223724017268978059291839599609375 optimization time for scenario: 11 = 0.1128971576690673828125 scenario cost: 91939.730399559324723668396472930908203125 Optimization Status: 2 scenario cost: 91939.730399559324723668396472930908203125 optimization time for scenario: 12 = 0.0517098903656005859375 scenario cost: 88030.07251729982090182602405548095703125 Optimization Status: 2 scenario cost: 88030.07251729982090182602405548095703125 optimization time for scenario: 13 = 0.0559470653533935546875 scenario cost: 86930.59833502353285439312458038330078125 Optimization Status: 2 scenario cost: 86930.59833502353285439312458038330078125 optimization time for scenario: 14 = 0.0565431118011474609375 scenario cost: 101451.41857761912979185581207275390625 Optimization Status: 2 scenario cost: 101451.41857761912979185581207275390625 optimization time for scenario: 15 = 0.0525758266448974609375 scenario cost: 85618.407455927590490318834781646728515625 Optimization Status: 2 scenario cost: 85618.407455927590490318834781646728515625 optimization time for scenario: 16 = 0.045586109161376953125 scenario cost: 82473.670242912674439139664173126220703125 Optimization Status: 2 scenario cost: 82473.670242912674439139664173126220703125 optimization time for scenario: 17 = 0.031052112579345703125 scenario cost: 102650.29384193816804327070713043212890625 Optimization Status: 2 scenario cost: 102650.29384193816804327070713043212890625 optimization time for scenario: 18 = 0.0284938812255859375 scenario cost: 88035.356818160289549268782138824462890625 Optimization Status: 2 scenario cost: 88035.356818160289549268782138824462890625 optimization time for scenario: 19 = 0.0287768840789794921875 Sending cuts of back to the stg 1 solver Objective Value 14820.629329113546191365458071231842041015625 memory usage: 112218184 received node: gen cut: Rental Cost 0 scenario cost: 102425.75572149213985539972782135009765625 Optimization Status: 2 scenario cost: 102425.75572149213985539972782135009765625 optimization time for scenario: 100 = 0.0558850765228271484375 scenario cost: 107813.13117421898641623556613922119140625 Optimization Status: 2 scenario cost: 107813.13117421898641623556613922119140625 optimization time for scenario: 101 = 0.0484759807586669921875 scenario cost: 86400.778104294513468630611896514892578125 Optimization Status: 2 scenario cost: 86400.778104294513468630611896514892578125 optimization time for scenario: 102 = 0.0536119937896728515625 scenario cost: 93528.06803550341282971203327178955078125 Optimization Status: 2 scenario cost: 93528.06803550341282971203327178955078125 optimization time for scenario: 103 = 0.0553538799285888671875 scenario cost: 89615.214336271703359670937061309814453125 Optimization Status: 2 scenario cost: 89615.214336271703359670937061309814453125 optimization time for scenario: 104 = 0.056190013885498046875 scenario cost: 102908.17075652457424439489841461181640625 Optimization Status: 2 scenario cost: 102908.17075652457424439489841461181640625 optimization time for scenario: 105 = 0.0980079174041748046875 scenario cost: 82618.012779105440131388604640960693359375 Optimization Status: 2 scenario cost: 82618.012779105440131388604640960693359375 optimization time for scenario: 106 = 0.1230289936065673828125 scenario cost: 97797.881677926401607692241668701171875 Optimization Status: 2 scenario cost: 97797.881677926401607692241668701171875 optimization time for scenario: 107 = 0.1140549182891845703125 scenario cost: 110712.136054320682887919247150421142578125 Optimization Status: 2 scenario cost: 110712.136054320682887919247150421142578125 optimization time for scenario: 108 = 0.0863189697265625 scenario cost: 96069.47074227072880603373050689697265625 Optimization Status: 2 scenario cost: 96069.47074227072880603373050689697265625 optimization time for scenario: 109 = 0.1098821163177490234375 scenario cost: 94351.14952467862167395651340484619140625 Optimization Status: 2 scenario cost: 94351.14952467862167395651340484619140625 optimization time for scenario: 110 = 0.05340099334716796875 scenario cost: 95577.828316362443729303777217864990234375 Optimization Status: 2 scenario cost: 95577.828316362443729303777217864990234375 optimization time for scenario: 111 = 0.0565078258514404296875 scenario cost: 88767.215344604148413054645061492919921875 Optimization Status: 2 scenario cost: 88767.215344604148413054645061492919921875 optimization time for scenario: 112 = 0.0597879886627197265625 scenario cost: 102136.8257670670864172279834747314453125 Optimization Status: 2 scenario cost: 102136.8257670670864172279834747314453125 optimization time for scenario: 113 = 0.0536129474639892578125 scenario cost: 86505.880389121433836407959461212158203125 Optimization Status: 2 scenario cost: 86505.880389121433836407959461212158203125 optimization time for scenario: 114 = 0.056540012359619140625 scenario cost: 90473.585405600970261730253696441650390625 Optimization Status: 2 scenario cost: 90473.585405600970261730253696441650390625 optimization time for scenario: 115 = 0.0543670654296875 scenario cost: 96660.19673023777431808412075042724609375 Optimization Status: 2 scenario cost: 96660.19673023777431808412075042724609375 optimization time for scenario: 116 = 0.0561950206756591796875 scenario cost: 91961.546772731628152541816234588623046875 Optimization Status: 2 scenario cost: 91961.546772731628152541816234588623046875 optimization time for scenario: 117 = 0.054957866668701171875 scenario cost: 90352.92854187267948873341083526611328125 Optimization Status: 2 scenario cost: 90352.92854187267948873341083526611328125 optimization time for scenario: 118 = 0.0552051067352294921875 scenario cost: 88144.633694547446793876588344573974609375 Optimization Status: 2 scenario cost: 88144.633694547446793876588344573974609375 optimization time for scenario: 119 = 0.0543010234832763671875 Sending cuts of back to the stg 1 solver Objective Value 15790.106921559277907363139092922210693359375 memory usage: 112219704 received node: gen cut: Rental Cost 0 scenario cost: 94842.91366861757705919444561004638671875 Optimization Status: 2 scenario cost: 94842.91366861757705919444561004638671875 optimization time for scenario: 60 = 0.066400051116943359375 scenario cost: 79425.1144115533097647130489349365234375 Optimization Status: 2 scenario cost: 79425.1144115533097647130489349365234375 optimization time for scenario: 61 = 0.0624520778656005859375 scenario cost: 81204.826512637213454581797122955322265625 Optimization Status: 2 scenario cost: 81204.826512637213454581797122955322265625 optimization time for scenario: 62 = 0.06303310394287109375 scenario cost: 81916.23672477927175350487232208251953125 Optimization Status: 2 scenario cost: 81916.23672477927175350487232208251953125 optimization time for scenario: 63 = 0.06361103057861328125 scenario cost: 97011.588440025327145121991634368896484375 Optimization Status: 2 scenario cost: 97011.588440025327145121991634368896484375 optimization time for scenario: 64 = 0.125012874603271484375 scenario cost: 98097.47541621755226515233516693115234375 Optimization Status: 2 scenario cost: 98097.47541621755226515233516693115234375 optimization time for scenario: 65 = 0.095408916473388671875 scenario cost: 89255.085590656628482975065708160400390625 Optimization Status: 2 scenario cost: 89255.085590656628482975065708160400390625 optimization time for scenario: 66 = 0.0523488521575927734375 scenario cost: 82259.149381067720241844654083251953125 Optimization Status: 2 scenario cost: 82259.149381067720241844654083251953125 optimization time for scenario: 67 = 0.0550358295440673828125 scenario cost: 82344.317198511198512278497219085693359375 Optimization Status: 2 scenario cost: 82344.317198511198512278497219085693359375 optimization time for scenario: 68 = 0.1074810028076171875 scenario cost: 86613.010210051856120117008686065673828125 Optimization Status: 2 scenario cost: 86613.010210051856120117008686065673828125 optimization time for scenario: 69 = 0.1223719120025634765625 scenario cost: 79102.14306361073977313935756683349609375 Optimization Status: 2 scenario cost: 79102.14306361073977313935756683349609375 optimization time for scenario: 70 = 0.128303050994873046875 scenario cost: 101523.635152488292078487575054168701171875 Optimization Status: 2 scenario cost: 101523.635152488292078487575054168701171875 optimization time for scenario: 71 = 0.1165239810943603515625 scenario cost: 95847.5305054954369552433490753173828125 Optimization Status: 2 scenario cost: 95847.5305054954369552433490753173828125 optimization time for scenario: 72 = 0.115765094757080078125 scenario cost: 96477.665571454170276410877704620361328125 Optimization Status: 2 scenario cost: 96477.665571454170276410877704620361328125 optimization time for scenario: 73 = 0.1205999851226806640625 scenario cost: 83056.950180322004598565399646759033203125 Optimization Status: 2 scenario cost: 83056.950180322004598565399646759033203125 optimization time for scenario: 74 = 0.099462032318115234375 scenario cost: 99921.31570166864548809826374053955078125 Optimization Status: 2 scenario cost: 99921.31570166864548809826374053955078125 optimization time for scenario: 75 = 0.1099989414215087890625 scenario cost: 88877.227106767866644077003002166748046875 Optimization Status: 2 scenario cost: 88877.227106767866644077003002166748046875 optimization time for scenario: 76 = 0.0635521411895751953125 scenario cost: 90835.54925574650405906140804290771484375 Optimization Status: 2 scenario cost: 90835.54925574650405906140804290771484375 optimization time for scenario: 77 = 0.0572149753570556640625 scenario cost: 86939.53797591032343916594982147216796875 Optimization Status: 2 scenario cost: 86939.53797591032343916594982147216796875 optimization time for scenario: 78 = 0.0438480377197265625 scenario cost: 83973.528139524089056067168712615966796875 Optimization Status: 2 scenario cost: 83973.528139524089056067168712615966796875 optimization time for scenario: 79 = 0.04621601104736328125 Sending cuts of back to the stg 1 solver Objective Value 14829.314017565877293236553668975830078125 memory usage: 112221224 received node: gen cut: Rental Cost 0 scenario cost: 92283.347234497821773402392864227294921875 Optimization Status: 2 scenario cost: 92283.347234497821773402392864227294921875 optimization time for scenario: 20 = 0.10789394378662109375 scenario cost: 82119.7436886999639682471752166748046875 Optimization Status: 2 scenario cost: 82119.7436886999639682471752166748046875 optimization time for scenario: 21 = 0.10459613800048828125 scenario cost: 82187.5883735288516618311405181884765625 Optimization Status: 2 scenario cost: 82187.5883735288516618311405181884765625 optimization time for scenario: 22 = 0.0491211414337158203125 scenario cost: 91792.863163253176026046276092529296875 Optimization Status: 2 scenario cost: 91792.863163253176026046276092529296875 optimization time for scenario: 23 = 0.046875 scenario cost: 75697.45766733796335756778717041015625 Optimization Status: 2 scenario cost: 75697.45766733796335756778717041015625 optimization time for scenario: 24 = 0.0481269359588623046875 scenario cost: 92915.7567723860847763717174530029296875 Optimization Status: 2 scenario cost: 92915.7567723860847763717174530029296875 optimization time for scenario: 25 = 0.04800319671630859375 scenario cost: 81821.718142855403129942715167999267578125 Optimization Status: 2 scenario cost: 81821.718142855403129942715167999267578125 optimization time for scenario: 26 = 0.049131870269775390625 scenario cost: 85849.992569381880457513034343719482421875 Optimization Status: 2 scenario cost: 85849.992569381880457513034343719482421875 optimization time for scenario: 27 = 0.048655986785888671875 scenario cost: 98057.0402631149627268314361572265625 Optimization Status: 2 scenario cost: 98057.0402631149627268314361572265625 optimization time for scenario: 28 = 0.050221920013427734375 scenario cost: 89441.40052575865411199629306793212890625 Optimization Status: 2 scenario cost: 89441.40052575865411199629306793212890625 optimization time for scenario: 29 = 0.046226024627685546875 scenario cost: 118307.70080864845658652484416961669921875 Optimization Status: 2 scenario cost: 118307.70080864845658652484416961669921875 optimization time for scenario: 30 = 0.0459978580474853515625 scenario cost: 94512.944681667911936528980731964111328125 Optimization Status: 2 scenario cost: 94512.944681667911936528980731964111328125 optimization time for scenario: 31 = 0.045238018035888671875 scenario cost: 106627.546289614620036445558071136474609375 Optimization Status: 2 scenario cost: 106627.546289614620036445558071136474609375 optimization time for scenario: 32 = 0.051623821258544921875 scenario cost: 101133.038081060120020993053913116455078125 Optimization Status: 2 scenario cost: 101133.038081060120020993053913116455078125 optimization time for scenario: 33 = 0.048615932464599609375 scenario cost: 102862.1672384966514073312282562255859375 Optimization Status: 2 scenario cost: 102862.1672384966514073312282562255859375 optimization time for scenario: 34 = 0.0484161376953125 scenario cost: 94698.705994678879505954682826995849609375 Optimization Status: 2 scenario cost: 94698.705994678879505954682826995849609375 optimization time for scenario: 35 = 0.0460379123687744140625 scenario cost: 80321.34421670020674355328083038330078125 Optimization Status: 2 scenario cost: 80321.34421670020674355328083038330078125 optimization time for scenario: 36 = 0.0510518550872802734375 scenario cost: 89399.23829435135121457278728485107421875 Optimization Status: 2 scenario cost: 89399.23829435135121457278728485107421875 optimization time for scenario: 37 = 0.0468242168426513671875 scenario cost: 98536.3951176793198101222515106201171875 Optimization Status: 2 scenario cost: 98536.3951176793198101222515106201171875 optimization time for scenario: 38 = 0.0466568470001220703125 scenario cost: 87994.0876250072033144533634185791015625 Optimization Status: 2 scenario cost: 87994.0876250072033144533634185791015625 optimization time for scenario: 39 = 0.045897960662841796875 Sending cuts of back to the stg 1 solver Objective Value 15387.93908757010285626165568828582763671875 memory usage: 112222744 received node: gen cut: Rental Cost 0 scenario cost: 85133.23079636428155936300754547119140625 Optimization Status: 2 scenario cost: 85133.23079636428155936300754547119140625 optimization time for scenario: 80 = 0.11981678009033203125 scenario cost: 101922.330552981118671596050262451171875 Optimization Status: 2 scenario cost: 101922.330552981118671596050262451171875 optimization time for scenario: 81 = 0.102221012115478515625 scenario cost: 81439.503638404901721514761447906494140625 Optimization Status: 2 scenario cost: 81439.503638404901721514761447906494140625 optimization time for scenario: 82 = 0.1126458644866943359375 scenario cost: 94436.001264778242330066859722137451171875 Optimization Status: 2 scenario cost: 94436.001264778242330066859722137451171875 optimization time for scenario: 83 = 0.098371028900146484375 scenario cost: 86573.0942610760102979838848114013671875 Optimization Status: 2 scenario cost: 86573.0942610760102979838848114013671875 optimization time for scenario: 84 = 0.1204681396484375 scenario cost: 91564.07653863439918495714664459228515625 Optimization Status: 2 scenario cost: 91564.07653863439918495714664459228515625 optimization time for scenario: 85 = 0.0563881397247314453125 scenario cost: 99178.022956267013796605169773101806640625 Optimization Status: 2 scenario cost: 99178.022956267013796605169773101806640625 optimization time for scenario: 86 = 0.052091121673583984375 scenario cost: 84333.249982597641064785420894622802734375 Optimization Status: 2 scenario cost: 84333.249982597641064785420894622802734375 optimization time for scenario: 87 = 0.054656982421875 scenario cost: 82093.690982279731542803347110748291015625 Optimization Status: 2 scenario cost: 82093.690982279731542803347110748291015625 optimization time for scenario: 88 = 0.0505828857421875 scenario cost: 83481.10191419327748008072376251220703125 Optimization Status: 2 scenario cost: 83481.10191419327748008072376251220703125 optimization time for scenario: 89 = 0.0541479587554931640625 scenario cost: 92452.415275905004818923771381378173828125 Optimization Status: 2 scenario cost: 92452.415275905004818923771381378173828125 optimization time for scenario: 90 = 0.05222320556640625 scenario cost: 90286.810609316555201075971126556396484375 Optimization Status: 2 scenario cost: 90286.810609316555201075971126556396484375 optimization time for scenario: 91 = 0.0712440013885498046875 scenario cost: 88490.683251488881069235503673553466796875 Optimization Status: 2 scenario cost: 88490.683251488881069235503673553466796875 optimization time for scenario: 92 = 0.1076691150665283203125 scenario cost: 105077.248056748867384158074855804443359375 Optimization Status: 2 scenario cost: 105077.248056748867384158074855804443359375 optimization time for scenario: 93 = 0.1082088947296142578125 scenario cost: 93688.94159820067579858005046844482421875 Optimization Status: 2 scenario cost: 93688.94159820067579858005046844482421875 optimization time for scenario: 94 = 0.1013500690460205078125 scenario cost: 91773.986032797183725051581859588623046875 Optimization Status: 2 scenario cost: 91773.986032797183725051581859588623046875 optimization time for scenario: 95 = 0.1003282070159912109375 scenario cost: 86119.278878652883577160537242889404296875 Optimization Status: 2 scenario cost: 86119.278878652883577160537242889404296875 optimization time for scenario: 96 = 0.07581996917724609375 scenario cost: 91723.943660783712402917444705963134765625 Optimization Status: 2 scenario cost: 91723.943660783712402917444705963134765625 optimization time for scenario: 97 = 0.05023097991943359375 scenario cost: 95178.389737914651050232350826263427734375 Optimization Status: 2 scenario cost: 95178.389737914651050232350826263427734375 optimization time for scenario: 98 = 0.0512409210205078125 scenario cost: 95830.687267312299809418618679046630859375 Optimization Status: 2 scenario cost: 95830.687267312299809418618679046630859375 optimization time for scenario: 99 = 0.0448410511016845703125 Sending cuts of back to the stg 1 solver Objective Value 15173.0783679162341286428272724151611328125 memory usage: 112224264 received node: gen cut: Rental Cost 0 scenario cost: 89296.99580385876470245420932769775390625 Optimization Status: 2 scenario cost: 89296.99580385876470245420932769775390625 optimization time for scenario: 40 = 0.10144710540771484375 scenario cost: 105360.09972938094870187342166900634765625 Optimization Status: 2 scenario cost: 105360.09972938094870187342166900634765625 optimization time for scenario: 41 = 0.093247890472412109375 scenario cost: 93574.38606186141259968280792236328125 Optimization Status: 2 scenario cost: 93574.38606186141259968280792236328125 optimization time for scenario: 42 = 0.09619903564453125 scenario cost: 87998.7947715754271484911441802978515625 Optimization Status: 2 scenario cost: 87998.7947715754271484911441802978515625 optimization time for scenario: 43 = 0.058062076568603515625 scenario cost: 110950.3774177308077923953533172607421875 Optimization Status: 2 scenario cost: 110950.3774177308077923953533172607421875 optimization time for scenario: 44 = 0.043701171875 scenario cost: 91002.804816190458950586616992950439453125 Optimization Status: 2 scenario cost: 91002.804816190458950586616992950439453125 optimization time for scenario: 45 = 0.0461809635162353515625 scenario cost: 93435.607451028263312764465808868408203125 Optimization Status: 2 scenario cost: 93435.607451028263312764465808868408203125 optimization time for scenario: 46 = 0.0462701320648193359375 scenario cost: 106088.096905084545142017304897308349609375 Optimization Status: 2 scenario cost: 106088.096905084545142017304897308349609375 optimization time for scenario: 47 = 0.0454089641571044921875 scenario cost: 99518.415651104776770807802677154541015625 Optimization Status: 2 scenario cost: 99518.415651104776770807802677154541015625 optimization time for scenario: 48 = 0.047111034393310546875 scenario cost: 93887.54713505320250988006591796875 Optimization Status: 2 scenario cost: 93887.54713505320250988006591796875 optimization time for scenario: 49 = 0.050611972808837890625 scenario cost: 79165.08935601823031902313232421875 Optimization Status: 2 scenario cost: 79165.08935601823031902313232421875 optimization time for scenario: 50 = 0.0571391582489013671875 scenario cost: 120175.26868148081121034920215606689453125 Optimization Status: 2 scenario cost: 120175.26868148081121034920215606689453125 optimization time for scenario: 51 = 0.1033990383148193359375 scenario cost: 86436.4763192629325203597545623779296875 Optimization Status: 2 scenario cost: 86436.4763192629325203597545623779296875 optimization time for scenario: 52 = 0.09638500213623046875 scenario cost: 82876.068019586426089517772197723388671875 Optimization Status: 2 scenario cost: 82876.068019586426089517772197723388671875 optimization time for scenario: 53 = 0.0956590175628662109375 scenario cost: 80422.437026920830248855054378509521484375 Optimization Status: 2 scenario cost: 80422.437026920830248855054378509521484375 optimization time for scenario: 54 = 0.10328006744384765625 scenario cost: 88133.08944197362870909273624420166015625 Optimization Status: 2 scenario cost: 88133.08944197362870909273624420166015625 optimization time for scenario: 55 = 0.09751796722412109375 scenario cost: 91469.73758502202690578997135162353515625 Optimization Status: 2 scenario cost: 91469.73758502202690578997135162353515625 optimization time for scenario: 56 = 0.08172702789306640625 scenario cost: 95301.172868863723124377429485321044921875 Optimization Status: 2 scenario cost: 95301.172868863723124377429485321044921875 optimization time for scenario: 57 = 0.0468471050262451171875 scenario cost: 96400.842997882966301403939723968505859375 Optimization Status: 2 scenario cost: 96400.842997882966301403939723968505859375 optimization time for scenario: 58 = 0.0464689731597900390625 scenario cost: 103675.382959015827509574592113494873046875 Optimization Status: 2 scenario cost: 103675.382959015827509574592113494873046875 optimization time for scenario: 59 = 0.0446040630340576171875 Sending cuts of back to the stg 1 solver Objective Value 15793.00925270110019482672214508056640625 memory usage: 112225784 received node: gen cut: Rental Cost 0 scenario cost: 103214.44318959055817686021327972412109375 Optimization Status: 2 scenario cost: 103214.44318959055817686021327972412109375 optimization time for scenario: 100 = 0.1350848674774169921875 scenario cost: 107910.197220027199364267289638519287109375 Optimization Status: 2 scenario cost: 107910.197220027199364267289638519287109375 optimization time for scenario: 101 = 0.129947185516357421875 scenario cost: 87184.605572098749689757823944091796875 Optimization Status: 2 scenario cost: 87184.605572098749689757823944091796875 optimization time for scenario: 102 = 0.106339931488037109375 scenario cost: 94333.048757445722003467381000518798828125 Optimization Status: 2 scenario cost: 94333.048757445722003467381000518798828125 optimization time for scenario: 103 = 0.099452972412109375 scenario cost: 90375.15886221130494959652423858642578125 Optimization Status: 2 scenario cost: 90375.15886221130494959652423858642578125 optimization time for scenario: 104 = 0.11384296417236328125 scenario cost: 103221.616399642705800943076610565185546875 Optimization Status: 2 scenario cost: 103221.616399642705800943076610565185546875 optimization time for scenario: 105 = 0.10167598724365234375 scenario cost: 83614.718718909061863087117671966552734375 Optimization Status: 2 scenario cost: 83614.718718909061863087117671966552734375 optimization time for scenario: 106 = 0.0915820598602294921875 scenario cost: 98450.47433955711312592029571533203125 Optimization Status: 2 scenario cost: 98450.47433955711312592029571533203125 optimization time for scenario: 107 = 0.056088924407958984375 scenario cost: 111389.605283240205608308315277099609375 Optimization Status: 2 scenario cost: 111389.605283240205608308315277099609375 optimization time for scenario: 108 = 0.0605900287628173828125 scenario cost: 96858.32522389138466678559780120849609375 Optimization Status: 2 scenario cost: 96858.32522389138466678559780120849609375 optimization time for scenario: 109 = 0.0763280391693115234375 scenario cost: 94524.751131409328081645071506500244140625 Optimization Status: 2 scenario cost: 94524.751131409328081645071506500244140625 optimization time for scenario: 110 = 0.11742687225341796875 scenario cost: 96580.2737801507464610040187835693359375 Optimization Status: 2 scenario cost: 96580.2737801507464610040187835693359375 optimization time for scenario: 111 = 0.0685520172119140625 scenario cost: 89785.580523903059656731784343719482421875 Optimization Status: 2 scenario cost: 89785.580523903059656731784343719482421875 optimization time for scenario: 112 = 0.05829906463623046875 scenario cost: 102566.7817642276058904826641082763671875 Optimization Status: 2 scenario cost: 102566.7817642276058904826641082763671875 optimization time for scenario: 113 = 0.0551531314849853515625 scenario cost: 87346.64092464579152874648571014404296875 Optimization Status: 2 scenario cost: 87346.64092464579152874648571014404296875 optimization time for scenario: 114 = 0.05502986907958984375 scenario cost: 90641.633075409816228784620761871337890625 Optimization Status: 2 scenario cost: 90641.633075409816228784620761871337890625 optimization time for scenario: 115 = 0.054130077362060546875 scenario cost: 97492.503064003438339568674564361572265625 Optimization Status: 2 scenario cost: 97492.503064003438339568674564361572265625 optimization time for scenario: 116 = 0.054071903228759765625 scenario cost: 92186.93823630144470371305942535400390625 Optimization Status: 2 scenario cost: 92186.93823630144470371305942535400390625 optimization time for scenario: 117 = 0.054382801055908203125 scenario cost: 91107.5446881600655615329742431640625 Optimization Status: 2 scenario cost: 91107.5446881600655615329742431640625 optimization time for scenario: 118 = 0.057078838348388671875 scenario cost: 89104.523874103339039720594882965087890625 Optimization Status: 2 scenario cost: 89104.523874103339039720594882965087890625 optimization time for scenario: 119 = 0.0559079647064208984375 Sending cuts of back to the stg 1 solver Objective Value 15899.01444226225066813640296459197998046875 memory usage: 112227304 received node: gen cut: Rental Cost 0 scenario cost: 82725.201543727001990191638469696044921875 Optimization Status: 2 scenario cost: 82725.201543727001990191638469696044921875 optimization time for scenario: 0 = 0.1176700592041015625 scenario cost: 89404.7220678782905451953411102294921875 Optimization Status: 2 scenario cost: 89404.7220678782905451953411102294921875 optimization time for scenario: 1 = 0.0540421009063720703125 scenario cost: 93602.257320770877413451671600341796875 Optimization Status: 2 scenario cost: 93602.257320770877413451671600341796875 optimization time for scenario: 2 = 0.052310943603515625 scenario cost: 94050.926640690464409999549388885498046875 Optimization Status: 2 scenario cost: 94050.926640690464409999549388885498046875 optimization time for scenario: 3 = 0.0557439327239990234375 scenario cost: 100454.062391281055170111358165740966796875 Optimization Status: 2 scenario cost: 100454.062391281055170111358165740966796875 optimization time for scenario: 4 = 0.0529329776763916015625 scenario cost: 104234.284695937894866801798343658447265625 Optimization Status: 2 scenario cost: 104234.284695937894866801798343658447265625 optimization time for scenario: 5 = 0.055408000946044921875 scenario cost: 90240.697742410353384912014007568359375 Optimization Status: 2 scenario cost: 90240.697742410353384912014007568359375 optimization time for scenario: 6 = 0.0560901165008544921875 scenario cost: 90551.397582763704122044146060943603515625 Optimization Status: 2 scenario cost: 90551.397582763704122044146060943603515625 optimization time for scenario: 7 = 0.056762218475341796875 scenario cost: 83022.333610501475050114095211029052734375 Optimization Status: 2 scenario cost: 83022.333610501475050114095211029052734375 optimization time for scenario: 8 = 0.057392120361328125 scenario cost: 100724.48961798628442920744419097900390625 Optimization Status: 2 scenario cost: 100724.48961798628442920744419097900390625 optimization time for scenario: 9 = 0.05673503875732421875 scenario cost: 91327.42644333155476488173007965087890625 Optimization Status: 2 scenario cost: 91327.42644333155476488173007965087890625 optimization time for scenario: 10 = 0.07462978363037109375 scenario cost: 76716.158245810656808316707611083984375 Optimization Status: 2 scenario cost: 76716.158245810656808316707611083984375 optimization time for scenario: 11 = 0.12638092041015625 scenario cost: 95924.736735008074901998043060302734375 Optimization Status: 2 scenario cost: 95924.736735008074901998043060302734375 optimization time for scenario: 12 = 0.1178100109100341796875 scenario cost: 92184.96369784869602881371974945068359375 Optimization Status: 2 scenario cost: 92184.96369784869602881371974945068359375 optimization time for scenario: 13 = 0.114058971405029296875 scenario cost: 90947.63271517641260288655757904052734375 Optimization Status: 2 scenario cost: 90947.63271517641260288655757904052734375 optimization time for scenario: 14 = 0.1128408908843994140625 scenario cost: 105282.840868993560434319078922271728515625 Optimization Status: 2 scenario cost: 105282.840868993560434319078922271728515625 optimization time for scenario: 15 = 0.11581897735595703125 scenario cost: 89443.692092084442265331745147705078125 Optimization Status: 2 scenario cost: 89443.692092084442265331745147705078125 optimization time for scenario: 16 = 0.057262897491455078125 scenario cost: 86345.814296484153601340949535369873046875 Optimization Status: 2 scenario cost: 86345.814296484153601340949535369873046875 optimization time for scenario: 17 = 0.0642030239105224609375 scenario cost: 106526.15057032220647670328617095947265625 Optimization Status: 2 scenario cost: 106526.15057032220647670328617095947265625 optimization time for scenario: 18 = 0.0619380474090576171875 scenario cost: 91950.70779506969847716391086578369140625 Optimization Status: 2 scenario cost: 91950.70779506969847716391086578369140625 optimization time for scenario: 19 = 0.059296131134033203125 Sending cuts of back to the stg 1 solver Objective Value 15463.775616934084609965793788433074951171875 memory usage: 112228824 received node: gen cut: Rental Cost 0 scenario cost: 79009.639599522241041995584964752197265625 Optimization Status: 2 scenario cost: 79009.639599522241041995584964752197265625 optimization time for scenario: 0 = 0.101519107818603515625 scenario cost: 83951.351173221031785942614078521728515625 Optimization Status: 2 scenario cost: 83951.351173221031785942614078521728515625 optimization time for scenario: 1 = 0.1127960681915283203125 scenario cost: 88238.5143314264132641255855560302734375 Optimization Status: 2 scenario cost: 88238.5143314264132641255855560302734375 optimization time for scenario: 2 = 0.0955069065093994140625 scenario cost: 88693.00940093860845081508159637451171875 Optimization Status: 2 scenario cost: 88693.00940093860845081508159637451171875 optimization time for scenario: 3 = 0.09869098663330078125 scenario cost: 95127.89750902247033081948757171630859375 Optimization Status: 2 scenario cost: 95127.89750902247033081948757171630859375 optimization time for scenario: 4 = 0.097238063812255859375 scenario cost: 98810.247179177080397494137287139892578125 Optimization Status: 2 scenario cost: 98810.247179177080397494137287139892578125 optimization time for scenario: 5 = 0.1135170459747314453125 scenario cost: 86242.760491313048987649381160736083984375 Optimization Status: 2 scenario cost: 86242.760491313048987649381160736083984375 optimization time for scenario: 6 = 0.10492706298828125 scenario cost: 86715.413834233491797931492328643798828125 Optimization Status: 2 scenario cost: 86715.413834233491797931492328643798828125 optimization time for scenario: 7 = 0.0554788112640380859375 scenario cost: 78935.016705891001038253307342529296875 Optimization Status: 2 scenario cost: 78935.016705891001038253307342529296875 optimization time for scenario: 8 = 0.0786440372467041015625 scenario cost: 95547.627284002737724222242832183837890625 Optimization Status: 2 scenario cost: 95547.627284002737724222242832183837890625 optimization time for scenario: 9 = 0.05095005035400390625 scenario cost: 85899.59746570070274174213409423828125 Optimization Status: 2 scenario cost: 85899.59746570070274174213409423828125 optimization time for scenario: 10 = 0.054531097412109375 scenario cost: 73289.555283792418777011334896087646484375 Optimization Status: 2 scenario cost: 73289.555283792418777011334896087646484375 optimization time for scenario: 11 = 0.0510680675506591796875 scenario cost: 89369.373219879271346144378185272216796875 Optimization Status: 2 scenario cost: 89369.373219879271346144378185272216796875 optimization time for scenario: 12 = 0.0563080310821533203125 scenario cost: 85578.148811547565856017172336578369140625 Optimization Status: 2 scenario cost: 85578.148811547565856017172336578369140625 optimization time for scenario: 13 = 0.102221965789794921875 scenario cost: 85549.694408690440468490123748779296875 Optimization Status: 2 scenario cost: 85549.694408690440468490123748779296875 optimization time for scenario: 14 = 0.063701152801513671875 scenario cost: 99884.635180436089285649359226226806640625 Optimization Status: 2 scenario cost: 99884.635180436089285649359226226806640625 optimization time for scenario: 15 = 0.0506041049957275390625 scenario cost: 83279.0710170190432108938694000244140625 Optimization Status: 2 scenario cost: 83279.0710170190432108938694000244140625 optimization time for scenario: 16 = 0.0514600276947021484375 scenario cost: 80851.4900345833157189190387725830078125 Optimization Status: 2 scenario cost: 80851.4900345833157189190387725830078125 optimization time for scenario: 17 = 0.0537369251251220703125 scenario cost: 101138.534252736993948929011821746826171875 Optimization Status: 2 scenario cost: 101138.534252736993948929011821746826171875 optimization time for scenario: 18 = 0.0504400730133056640625 scenario cost: 86611.003701320601976476609706878662109375 Optimization Status: 2 scenario cost: 86611.003701320601976476609706878662109375 optimization time for scenario: 19 = 0.0592529773712158203125 Sending cuts of back to the stg 1 solver Objective Value 14605.963083284428648767061531543731689453125 memory usage: 112230344 received node: gen cut: Rental Cost 0 scenario cost: 84125.27882690457045100629329681396484375 Optimization Status: 2 scenario cost: 84125.27882690457045100629329681396484375 optimization time for scenario: 80 = 0.1009781360626220703125 scenario cost: 101281.079307224819785915315151214599609375 Optimization Status: 2 scenario cost: 101281.079307224819785915315151214599609375 optimization time for scenario: 81 = 0.0943977832794189453125 scenario cost: 80102.1611340342205949127674102783203125 Optimization Status: 2 scenario cost: 80102.1611340342205949127674102783203125 optimization time for scenario: 82 = 0.0988070964813232421875 scenario cost: 92941.062284617495606653392314910888671875 Optimization Status: 2 scenario cost: 92941.062284617495606653392314910888671875 optimization time for scenario: 83 = 0.1049249172210693359375 scenario cost: 83901.859370351376128382980823516845703125 Optimization Status: 2 scenario cost: 83901.859370351376128382980823516845703125 optimization time for scenario: 84 = 0.0996010303497314453125 scenario cost: 89904.79655855390592478215694427490234375 Optimization Status: 2 scenario cost: 89904.79655855390592478215694427490234375 optimization time for scenario: 85 = 0.1038970947265625 scenario cost: 97839.413666369175189174711704254150390625 Optimization Status: 2 scenario cost: 97839.413666369175189174711704254150390625 optimization time for scenario: 86 = 0.0906031131744384765625 scenario cost: 82937.85720398594276048243045806884765625 Optimization Status: 2 scenario cost: 82937.85720398594276048243045806884765625 optimization time for scenario: 87 = 0.0973351001739501953125 scenario cost: 80450.366665028137504123151302337646484375 Optimization Status: 2 scenario cost: 80450.366665028137504123151302337646484375 optimization time for scenario: 88 = 0.0986549854278564453125 scenario cost: 80926.659267923809238709509372711181640625 Optimization Status: 2 scenario cost: 80926.659267923809238709509372711181640625 optimization time for scenario: 89 = 0.0958099365234375 scenario cost: 90707.742300298661575652658939361572265625 Optimization Status: 2 scenario cost: 90707.742300298661575652658939361572265625 optimization time for scenario: 90 = 0.0876090526580810546875 scenario cost: 88724.85381938764476217329502105712890625 Optimization Status: 2 scenario cost: 88724.85381938764476217329502105712890625 optimization time for scenario: 91 = 0.0483570098876953125 scenario cost: 87071.504647043315344490110874176025390625 Optimization Status: 2 scenario cost: 87071.504647043315344490110874176025390625 optimization time for scenario: 92 = 0.046843051910400390625 scenario cost: 103529.754335160701884888112545013427734375 Optimization Status: 2 scenario cost: 103529.754335160701884888112545013427734375 optimization time for scenario: 93 = 0.04943180084228515625 scenario cost: 92368.908444040003814734518527984619140625 Optimization Status: 2 scenario cost: 92368.908444040003814734518527984619140625 optimization time for scenario: 94 = 0.052423000335693359375 scenario cost: 90566.494829788265633396804332733154296875 Optimization Status: 2 scenario cost: 90566.494829788265633396804332733154296875 optimization time for scenario: 95 = 0.0488851070404052734375 scenario cost: 84510.742852294919430278241634368896484375 Optimization Status: 2 scenario cost: 84510.742852294919430278241634368896484375 optimization time for scenario: 96 = 0.0429651737213134765625 scenario cost: 90209.625646750690066255629062652587890625 Optimization Status: 2 scenario cost: 90209.625646750690066255629062652587890625 optimization time for scenario: 97 = 0.0276939868927001953125 scenario cost: 94233.6852417152258567512035369873046875 Optimization Status: 2 scenario cost: 94233.6852417152258567512035369873046875 optimization time for scenario: 98 = 0.028296947479248046875 scenario cost: 94830.876913527390570379793643951416015625 Optimization Status: 2 scenario cost: 94830.876913527390570379793643951416015625 optimization time for scenario: 99 = 0.0293979644775390625 Sending cuts of back to the stg 1 solver Objective Value 14926.3129888008916168473660945892333984375 memory usage: 112231864 received node: gen cut: Rental Cost 0 scenario cost: 85745.702332367873168550431728363037109375 Optimization Status: 2 scenario cost: 85745.702332367873168550431728363037109375 optimization time for scenario: 20 = 0.047502994537353515625 scenario cost: 75990.280620987163274548947811126708984375 Optimization Status: 2 scenario cost: 75990.280620987163274548947811126708984375 optimization time for scenario: 21 = 0.0480539798736572265625 scenario cost: 76140.082624229413340799510478973388671875 Optimization Status: 2 scenario cost: 76140.082624229413340799510478973388671875 optimization time for scenario: 22 = 0.094470977783203125 scenario cost: 85338.553626661028829403221607208251953125 Optimization Status: 2 scenario cost: 85338.553626661028829403221607208251953125 optimization time for scenario: 23 = 0.0984609127044677734375 scenario cost: 69679.48376742316759191453456878662109375 Optimization Status: 2 scenario cost: 69679.48376742316759191453456878662109375 optimization time for scenario: 24 = 0.10834503173828125 scenario cost: 85124.904532332569942809641361236572265625 Optimization Status: 2 scenario cost: 85124.904532332569942809641361236572265625 optimization time for scenario: 25 = 0.0995349884033203125 scenario cost: 75984.223084218698204495012760162353515625 Optimization Status: 2 scenario cost: 75984.223084218698204495012760162353515625 optimization time for scenario: 26 = 0.1117000579833984375 scenario cost: 78144.8294216608046554028987884521484375 Optimization Status: 2 scenario cost: 78144.8294216608046554028987884521484375 optimization time for scenario: 27 = 0.1072208881378173828125 scenario cost: 90354.853663454690831713378429412841796875 Optimization Status: 2 scenario cost: 90354.853663454690831713378429412841796875 optimization time for scenario: 28 = 0.0612699985504150390625 scenario cost: 81517.332254686698433943092823028564453125 Optimization Status: 2 scenario cost: 81517.332254686698433943092823028564453125 optimization time for scenario: 29 = 0.047276973724365234375 scenario cost: 107892.507598575393785722553730010986328125 Optimization Status: 2 scenario cost: 107892.507598575393785722553730010986328125 optimization time for scenario: 30 = 0.0535328388214111328125 scenario cost: 86936.91543199992156587541103363037109375 Optimization Status: 2 scenario cost: 86936.91543199992156587541103363037109375 optimization time for scenario: 31 = 0.0522668361663818359375 scenario cost: 98735.958002748899161815643310546875 Optimization Status: 2 scenario cost: 98735.958002748899161815643310546875 optimization time for scenario: 32 = 0.056500911712646484375 scenario cost: 93762.072474817789043299853801727294921875 Optimization Status: 2 scenario cost: 93762.072474817789043299853801727294921875 optimization time for scenario: 33 = 0.05183506011962890625 scenario cost: 93689.16756737136165611445903778076171875 Optimization Status: 2 scenario cost: 93689.16756737136165611445903778076171875 optimization time for scenario: 34 = 0.0502879619598388671875 scenario cost: 87904.255432324614957906305789947509765625 Optimization Status: 2 scenario cost: 87904.255432324614957906305789947509765625 optimization time for scenario: 35 = 0.047567844390869140625 scenario cost: 74238.585567889225785620510578155517578125 Optimization Status: 2 scenario cost: 74238.585567889225785620510578155517578125 optimization time for scenario: 36 = 0.0518410205841064453125 scenario cost: 82525.089654044204507954418659210205078125 Optimization Status: 2 scenario cost: 82525.089654044204507954418659210205078125 optimization time for scenario: 37 = 0.0454518795013427734375 scenario cost: 91307.513498198590241372585296630859375 Optimization Status: 2 scenario cost: 91307.513498198590241372585296630859375 optimization time for scenario: 38 = 0.0492088794708251953125 scenario cost: 80916.98663736251182854175567626953125 Optimization Status: 2 scenario cost: 80916.98663736251182854175567626953125 optimization time for scenario: 39 = 0.0519030094146728515625 Sending cuts of back to the stg 1 solver Objective Value 14182.687417301362074795179069042205810546875 memory usage: 112233384 received node: gen cut: Rental Cost 0 scenario cost: 79961.538250194585998542606830596923828125 Optimization Status: 2 scenario cost: 79961.538250194585998542606830596923828125 optimization time for scenario: 80 = 0.0728309154510498046875 scenario cost: 96096.671823840835713781416416168212890625 Optimization Status: 2 scenario cost: 96096.671823840835713781416416168212890625 optimization time for scenario: 81 = 0.0596511363983154296875 scenario cost: 75882.93534938522498123347759246826171875 Optimization Status: 2 scenario cost: 75882.93534938522498123347759246826171875 optimization time for scenario: 82 = 0.0597250461578369140625 scenario cost: 88658.573815490162814967334270477294921875 Optimization Status: 2 scenario cost: 88658.573815490162814967334270477294921875 optimization time for scenario: 83 = 0.063642024993896484375 scenario cost: 81654.593689565852400846779346466064453125 Optimization Status: 2 scenario cost: 81654.593689565852400846779346466064453125 optimization time for scenario: 84 = 0.0588018894195556640625 scenario cost: 85696.760168206456000916659832000732421875 Optimization Status: 2 scenario cost: 85696.760168206456000916659832000732421875 optimization time for scenario: 85 = 0.0632860660552978515625 scenario cost: 93422.160008289079996757209300994873046875 Optimization Status: 2 scenario cost: 93422.160008289079996757209300994873046875 optimization time for scenario: 86 = 0.0596539974212646484375 scenario cost: 78996.411901321043842472136020660400390625 Optimization Status: 2 scenario cost: 78996.411901321043842472136020660400390625 optimization time for scenario: 87 = 0.04786205291748046875 scenario cost: 76331.14860608769231475889682769775390625 Optimization Status: 2 scenario cost: 76331.14860608769231475889682769775390625 optimization time for scenario: 88 = 0.0506689548492431640625 scenario cost: 78615.91275928806862793862819671630859375 Optimization Status: 2 scenario cost: 78615.91275928806862793862819671630859375 optimization time for scenario: 89 = 0.04915904998779296875 scenario cost: 87619.29378566905506886541843414306640625 Optimization Status: 2 scenario cost: 87619.29378566905506886541843414306640625 optimization time for scenario: 90 = 0.096767902374267578125 scenario cost: 84530.675863963435404002666473388671875 Optimization Status: 2 scenario cost: 84530.675863963435404002666473388671875 optimization time for scenario: 91 = 0.104526042938232421875 scenario cost: 82687.5062510530115105211734771728515625 Optimization Status: 2 scenario cost: 82687.5062510530115105211734771728515625 optimization time for scenario: 92 = 0.1094038486480712890625 scenario cost: 99254.540979286437504924833774566650390625 Optimization Status: 2 scenario cost: 99254.540979286437504924833774566650390625 optimization time for scenario: 93 = 0.0966289043426513671875 scenario cost: 88005.13541869775508530437946319580078125 Optimization Status: 2 scenario cost: 88005.13541869775508530437946319580078125 optimization time for scenario: 94 = 0.06593418121337890625 scenario cost: 86386.06055564244161359965801239013671875 Optimization Status: 2 scenario cost: 86386.06055564244161359965801239013671875 optimization time for scenario: 95 = 0.0502049922943115234375 scenario cost: 81632.69607783204992301762104034423828125 Optimization Status: 2 scenario cost: 81632.69607783204992301762104034423828125 optimization time for scenario: 96 = 0.04712390899658203125 scenario cost: 85894.387687672700849361717700958251953125 Optimization Status: 2 scenario cost: 85894.387687672700849361717700958251953125 optimization time for scenario: 97 = 0.0466301441192626953125 scenario cost: 89738.063499877796857617795467376708984375 Optimization Status: 2 scenario cost: 89738.063499877796857617795467376708984375 optimization time for scenario: 98 = 0.053433895111083984375 scenario cost: 90023.836403316570795141160488128662109375 Optimization Status: 2 scenario cost: 90023.836403316570795141160488128662109375 optimization time for scenario: 99 = 0.0463221073150634765625 Sending cuts of back to the stg 1 solver Objective Value 14259.017154492239569663070142269134521484375 memory usage: 112234904 received node: gen cut: Rental Cost 0 scenario cost: 87663.984570798071217723190784454345703125 Optimization Status: 2 scenario cost: 87663.984570798071217723190784454345703125 optimization time for scenario: 20 = 0.073894977569580078125 scenario cost: 77520.045252237352542579174041748046875 Optimization Status: 2 scenario cost: 77520.045252237352542579174041748046875 optimization time for scenario: 21 = 0.0475361347198486328125 scenario cost: 77978.252264260736410506069660186767578125 Optimization Status: 2 scenario cost: 77978.252264260736410506069660186767578125 optimization time for scenario: 22 = 0.073626995086669921875 scenario cost: 86836.374763884508865885436534881591796875 Optimization Status: 2 scenario cost: 86836.374763884508865885436534881591796875 optimization time for scenario: 23 = 0.09379100799560546875 scenario cost: 71415.07992913550697267055511474609375 Optimization Status: 2 scenario cost: 71415.07992913550697267055511474609375 optimization time for scenario: 24 = 0.05901813507080078125 scenario cost: 87435.553427902734256349503993988037109375 Optimization Status: 2 scenario cost: 87435.553427902734256349503993988037109375 optimization time for scenario: 25 = 0.04644489288330078125 scenario cost: 77918.671479997356072999536991119384765625 Optimization Status: 2 scenario cost: 77918.671479997356072999536991119384765625 optimization time for scenario: 26 = 0.0995500087738037109375 scenario cost: 80518.24963665925315581262111663818359375 Optimization Status: 2 scenario cost: 80518.24963665925315581262111663818359375 optimization time for scenario: 27 = 0.09628200531005859375 scenario cost: 92473.0118328859098255634307861328125 Optimization Status: 2 scenario cost: 92473.0118328859098255634307861328125 optimization time for scenario: 28 = 0.09624385833740234375 scenario cost: 84019.4728149955044500529766082763671875 Optimization Status: 2 scenario cost: 84019.4728149955044500529766082763671875 optimization time for scenario: 29 = 0.070436000823974609375 scenario cost: 111174.76311797625385224819183349609375 Optimization Status: 2 scenario cost: 111174.76311797625385224819183349609375 optimization time for scenario: 30 = 0.0479409694671630859375 scenario cost: 89362.77104518070700578391551971435546875 Optimization Status: 2 scenario cost: 89362.77104518070700578391551971435546875 optimization time for scenario: 31 = 0.044185161590576171875 scenario cost: 101263.96658781930455006659030914306640625 Optimization Status: 2 scenario cost: 101263.96658781930455006659030914306640625 optimization time for scenario: 32 = 0.0451118946075439453125 scenario cost: 96115.52637804995174519717693328857421875 Optimization Status: 2 scenario cost: 96115.52637804995174519717693328857421875 optimization time for scenario: 33 = 0.0444800853729248046875 scenario cost: 96301.091404459570185281336307525634765625 Optimization Status: 2 scenario cost: 96301.091404459570185281336307525634765625 optimization time for scenario: 34 = 0.0464649200439453125 scenario cost: 90259.515660409466363489627838134765625 Optimization Status: 2 scenario cost: 90259.515660409466363489627838134765625 optimization time for scenario: 35 = 0.0453338623046875 scenario cost: 75816.168206713118706829845905303955078125 Optimization Status: 2 scenario cost: 75816.168206713118706829845905303955078125 optimization time for scenario: 36 = 0.0490128993988037109375 scenario cost: 84874.9244186755386181175708770751953125 Optimization Status: 2 scenario cost: 84874.9244186755386181175708770751953125 optimization time for scenario: 37 = 0.081862926483154296875 scenario cost: 93566.856138120187097229063510894775390625 Optimization Status: 2 scenario cost: 93566.856138120187097229063510894775390625 optimization time for scenario: 38 = 0.0901720523834228515625 scenario cost: 83335.39077479272964410483837127685546875 Optimization Status: 2 scenario cost: 83335.39077479272964410483837127685546875 optimization time for scenario: 39 = 0.06117916107177734375 Sending cuts of back to the stg 1 solver Objective Value 14548.689052552290377207100391387939453125 memory usage: 112236424 received node: gen cut: Rental Cost 0 scenario cost: 78288.663429376159911043941974639892578125 Optimization Status: 2 scenario cost: 78288.663429376159911043941974639892578125 optimization time for scenario: 0 = 0.0994188785552978515625 scenario cost: 83897.28117320695309899747371673583984375 Optimization Status: 2 scenario cost: 83897.28117320695309899747371673583984375 optimization time for scenario: 1 = 0.1024911403656005859375 scenario cost: 88293.5315179395838640630245208740234375 Optimization Status: 2 scenario cost: 88293.5315179395838640630245208740234375 optimization time for scenario: 2 = 0.113895893096923828125 scenario cost: 88791.70246417346061207354068756103515625 Optimization Status: 2 scenario cost: 88791.70246417346061207354068756103515625 optimization time for scenario: 3 = 0.106990814208984375 scenario cost: 95215.104220705790794454514980316162109375 Optimization Status: 2 scenario cost: 95215.104220705790794454514980316162109375 optimization time for scenario: 4 = 0.1187801361083984375 scenario cost: 98846.29866819616290740668773651123046875 Optimization Status: 2 scenario cost: 98846.29866819616290740668773651123046875 optimization time for scenario: 5 = 0.1069219112396240234375 scenario cost: 85564.288467319114715792238712310791015625 Optimization Status: 2 scenario cost: 85564.288467319114715792238712310791015625 optimization time for scenario: 6 = 0.0532271862030029296875 scenario cost: 86110.1682112598209641873836517333984375 Optimization Status: 2 scenario cost: 86110.1682112598209641873836517333984375 optimization time for scenario: 7 = 0.049310207366943359375 scenario cost: 78340.122790336332400329411029815673828125 Optimization Status: 2 scenario cost: 78340.122790336332400329411029815673828125 optimization time for scenario: 8 = 0.0545330047607421875 scenario cost: 95553.339084738618112169206142425537109375 Optimization Status: 2 scenario cost: 95553.339084738618112169206142425537109375 optimization time for scenario: 9 = 0.050427913665771484375 scenario cost: 86008.331786313108750618994235992431640625 Optimization Status: 2 scenario cost: 86008.331786313108750618994235992431640625 optimization time for scenario: 10 = 0.051412105560302734375 scenario cost: 72734.45194012732827104628086090087890625 Optimization Status: 2 scenario cost: 72734.45194012732827104628086090087890625 optimization time for scenario: 11 = 0.0542089939117431640625 scenario cost: 89546.7953110357630066573619842529296875 Optimization Status: 2 scenario cost: 89546.7953110357630066573619842529296875 optimization time for scenario: 12 = 0.051258087158203125 scenario cost: 85695.161362102910061366856098175048828125 Optimization Status: 2 scenario cost: 85695.161362102910061366856098175048828125 optimization time for scenario: 13 = 0.0532491207122802734375 scenario cost: 85277.48543126610456965863704681396484375 Optimization Status: 2 scenario cost: 85277.48543126610456965863704681396484375 optimization time for scenario: 14 = 0.065124034881591796875 scenario cost: 100003.29056016655522398650646209716796875 Optimization Status: 2 scenario cost: 100003.29056016655522398650646209716796875 optimization time for scenario: 15 = 0.0691459178924560546875 scenario cost: 83339.817764111459837295114994049072265625 Optimization Status: 2 scenario cost: 83339.817764111459837295114994049072265625 optimization time for scenario: 16 = 0.0715010166168212890625 scenario cost: 80826.605130392665159888565540313720703125 Optimization Status: 2 scenario cost: 80826.605130392665159888565540313720703125 optimization time for scenario: 17 = 0.08781719207763671875 scenario cost: 101204.537523519989917986094951629638671875 Optimization Status: 2 scenario cost: 101204.537523519989917986094951629638671875 optimization time for scenario: 18 = 0.048799991607666015625 scenario cost: 86662.81196575649664737284183502197265625 Optimization Status: 2 scenario cost: 86662.81196575649664737284183502197265625 optimization time for scenario: 19 = 0.0509150028228759765625 Sending cuts of back to the stg 1 solver Objective Value 14584.9399000240737223066389560699462890625 memory usage: 112237944 received node: gen cut: Rental Cost 0 scenario cost: 80788.57001483082422055304050445556640625 Optimization Status: 2 scenario cost: 80788.57001483082422055304050445556640625 optimization time for scenario: 0 = 0.10262298583984375 scenario cost: 85969.26287547996616922318935394287109375 Optimization Status: 2 scenario cost: 85969.26287547996616922318935394287109375 optimization time for scenario: 1 = 0.0962159633636474609375 scenario cost: 90364.944646237170672975480556488037109375 Optimization Status: 2 scenario cost: 90364.944646237170672975480556488037109375 optimization time for scenario: 2 = 0.172897815704345703125 scenario cost: 90740.342539019286050461232662200927734375 Optimization Status: 2 scenario cost: 90740.342539019286050461232662200927734375 optimization time for scenario: 3 = 0.1091859340667724609375 scenario cost: 97081.6291272539529018104076385498046875 Optimization Status: 2 scenario cost: 97081.6291272539529018104076385498046875 optimization time for scenario: 4 = 0.1308920383453369140625 scenario cost: 100834.711679809101042337715625762939453125 Optimization Status: 2 scenario cost: 100834.711679809101042337715625762939453125 optimization time for scenario: 5 = 0.0967080593109130859375 scenario cost: 87919.02911668157321400940418243408203125 Optimization Status: 2 scenario cost: 87919.02911668157321400940418243408203125 optimization time for scenario: 6 = 0.0738041400909423828125 scenario cost: 88446.182586883820476941764354705810546875 Optimization Status: 2 scenario cost: 88446.182586883820476941764354705810546875 optimization time for scenario: 7 = 0.0499570369720458984375 scenario cost: 80548.077500175000750459730625152587890625 Optimization Status: 2 scenario cost: 80548.077500175000750459730625152587890625 optimization time for scenario: 8 = 0.05197906494140625 scenario cost: 97547.259944513105438090860843658447265625 Optimization Status: 2 scenario cost: 97547.259944513105438090860843658447265625 optimization time for scenario: 9 = 0.04825496673583984375 scenario cost: 87975.962120563679491169750690460205078125 Optimization Status: 2 scenario cost: 87975.962120563679491169750690460205078125 optimization time for scenario: 10 = 0.07110500335693359375 scenario cost: 74895.752773012776742689311504364013671875 Optimization Status: 2 scenario cost: 74895.752773012776742689311504364013671875 optimization time for scenario: 11 = 0.0793759822845458984375 scenario cost: 91409.718564330236404202878475189208984375 Optimization Status: 2 scenario cost: 91409.718564330236404202878475189208984375 optimization time for scenario: 12 = 0.0752799510955810546875 scenario cost: 87561.956774452337413094937801361083984375 Optimization Status: 2 scenario cost: 87561.956774452337413094937801361083984375 optimization time for scenario: 13 = 0.08114910125732421875 scenario cost: 87674.367702853473019786179065704345703125 Optimization Status: 2 scenario cost: 87674.367702853473019786179065704345703125 optimization time for scenario: 14 = 0.08700084686279296875 scenario cost: 101916.576360256920452229678630828857421875 Optimization Status: 2 scenario cost: 101916.576360256920452229678630828857421875 optimization time for scenario: 15 = 0.0600490570068359375 scenario cost: 85246.572683971797232516109943389892578125 Optimization Status: 2 scenario cost: 85246.572683971797232516109943389892578125 optimization time for scenario: 16 = 0.0741708278656005859375 scenario cost: 83163.021343383123166859149932861328125 Optimization Status: 2 scenario cost: 83163.021343383123166859149932861328125 optimization time for scenario: 17 = 0.062923908233642578125 scenario cost: 103219.373570490322890691459178924560546875 Optimization Status: 2 scenario cost: 103219.373570490322890691459178924560546875 optimization time for scenario: 18 = 0.05875110626220703125 scenario cost: 88456.011978112990618683397769927978515625 Optimization Status: 2 scenario cost: 88456.011978112990618683397769927978515625 optimization time for scenario: 19 = 0.0364358425140380859375 Sending cuts of back to the stg 1 solver Objective Value 14931.26797387513215653598308563232421875 memory usage: 112239464 received node: gen cut: Rental Cost 0 scenario cost: 101014.93539311506901867687702178955078125 Optimization Status: 2 scenario cost: 101014.93539311506901867687702178955078125 optimization time for scenario: 100 = 0.12145900726318359375 scenario cost: 105896.853315773463691584765911102294921875 Optimization Status: 2 scenario cost: 105896.853315773463691584765911102294921875 optimization time for scenario: 101 = 0.13977813720703125 scenario cost: 85001.44681316576316021382808685302734375 Optimization Status: 2 scenario cost: 85001.44681316576316021382808685302734375 optimization time for scenario: 102 = 0.1532561779022216796875 scenario cost: 91441.004979886216460727155208587646484375 Optimization Status: 2 scenario cost: 91441.004979886216460727155208587646484375 optimization time for scenario: 103 = 0.1231520175933837890625 scenario cost: 87804.615464947302825748920440673828125 Optimization Status: 2 scenario cost: 87804.615464947302825748920440673828125 optimization time for scenario: 104 = 0.11270999908447265625 scenario cost: 101249.742720098220161162316799163818359375 Optimization Status: 2 scenario cost: 101249.742720098220161162316799163818359375 optimization time for scenario: 105 = 0.049852848052978515625 scenario cost: 80728.840986059818533249199390411376953125 Optimization Status: 2 scenario cost: 80728.840986059818533249199390411376953125 optimization time for scenario: 106 = 0.051267147064208984375 scenario cost: 95501.872074604572844691574573516845703125 Optimization Status: 2 scenario cost: 95501.872074604572844691574573516845703125 optimization time for scenario: 107 = 0.0541858673095703125 scenario cost: 108756.095130210145725868642330169677734375 Optimization Status: 2 scenario cost: 108756.095130210145725868642330169677734375 optimization time for scenario: 108 = 0.0531179904937744140625 scenario cost: 94099.1404238334507681429386138916015625 Optimization Status: 2 scenario cost: 94099.1404238334507681429386138916015625 optimization time for scenario: 109 = 0.0524270534515380859375 scenario cost: 91840.216101124286069534718990325927734375 Optimization Status: 2 scenario cost: 91840.216101124286069534718990325927734375 optimization time for scenario: 110 = 0.0568058490753173828125 scenario cost: 93781.272663016847218386828899383544921875 Optimization Status: 2 scenario cost: 93781.272663016847218386828899383544921875 optimization time for scenario: 111 = 0.0532639026641845703125 scenario cost: 86902.44971439801156520843505859375 Optimization Status: 2 scenario cost: 86902.44971439801156520843505859375 optimization time for scenario: 112 = 0.0536301136016845703125 scenario cost: 99958.961281011565006338059902191162109375 Optimization Status: 2 scenario cost: 99958.961281011565006338059902191162109375 optimization time for scenario: 113 = 0.05268096923828125 scenario cost: 84497.569926211595884524285793304443359375 Optimization Status: 2 scenario cost: 84497.569926211595884524285793304443359375 optimization time for scenario: 114 = 0.0531330108642578125 scenario cost: 87982.519653519499115645885467529296875 Optimization Status: 2 scenario cost: 87982.519653519499115645885467529296875 optimization time for scenario: 115 = 0.05424594879150390625 scenario cost: 94621.925369167016469873487949371337890625 Optimization Status: 2 scenario cost: 94621.925369167016469873487949371337890625 optimization time for scenario: 116 = 0.05980205535888671875 scenario cost: 90277.8061149757704697549343109130859375 Optimization Status: 2 scenario cost: 90277.8061149757704697549343109130859375 optimization time for scenario: 117 = 0.09560394287109375 scenario cost: 88887.08346847791108302772045135498046875 Optimization Status: 2 scenario cost: 88887.08346847791108302772045135498046875 optimization time for scenario: 118 = 0.050795078277587890625 scenario cost: 86206.126812559537938795983791351318359375 Optimization Status: 2 scenario cost: 86206.126812559537938795983791351318359375 optimization time for scenario: 119 = 0.0575358867645263671875 Sending cuts of back to the stg 1 solver Objective Value 15470.3587717020200216211378574371337890625 memory usage: 112240984 received node: gen cut: Rental Cost 0 scenario cost: 82242.655698758040671236813068389892578125 Optimization Status: 2 scenario cost: 82242.655698758040671236813068389892578125 optimization time for scenario: 80 = 0.10350704193115234375 scenario cost: 98453.52903787369723431766033172607421875 Optimization Status: 2 scenario cost: 98453.52903787369723431766033172607421875 optimization time for scenario: 81 = 0.1049480438232421875 scenario cost: 78172.028451877136831171810626983642578125 Optimization Status: 2 scenario cost: 78172.028451877136831171810626983642578125 optimization time for scenario: 82 = 0.1152961254119873046875 scenario cost: 91022.954898368261638097465038299560546875 Optimization Status: 2 scenario cost: 91022.954898368261638097465038299560546875 optimization time for scenario: 83 = 0.114925861358642578125 scenario cost: 84259.89610982281737960875034332275390625 Optimization Status: 2 scenario cost: 84259.89610982281737960875034332275390625 optimization time for scenario: 84 = 0.1031930446624755859375 scenario cost: 88095.144986614192021079361438751220703125 Optimization Status: 2 scenario cost: 88095.144986614192021079361438751220703125 optimization time for scenario: 85 = 0.121304035186767578125 scenario cost: 95791.972952575786621309816837310791015625 Optimization Status: 2 scenario cost: 95791.972952575786621309816837310791015625 optimization time for scenario: 86 = 0.11699008941650390625 scenario cost: 81534.744805638198158703744411468505859375 Optimization Status: 2 scenario cost: 81534.744805638198158703744411468505859375 optimization time for scenario: 87 = 0.1310970783233642578125 scenario cost: 78612.33085811106138862669467926025390625 Optimization Status: 2 scenario cost: 78612.33085811106138862669467926025390625 optimization time for scenario: 88 = 0.121550083160400390625 scenario cost: 81202.04194746891153044998645782470703125 Optimization Status: 2 scenario cost: 81202.04194746891153044998645782470703125 optimization time for scenario: 89 = 0.1074469089508056640625 scenario cost: 90228.398923321175971068441867828369140625 Optimization Status: 2 scenario cost: 90228.398923321175971068441867828369140625 optimization time for scenario: 90 = 0.2045781612396240234375 scenario cost: 86823.124809683722560293972492218017578125 Optimization Status: 2 scenario cost: 86823.124809683722560293972492218017578125 optimization time for scenario: 91 = 0.181580066680908203125 scenario cost: 85085.116968239934067241847515106201171875 Optimization Status: 2 scenario cost: 85085.116968239934067241847515106201171875 optimization time for scenario: 92 = 0.3207089900970458984375 scenario cost: 101644.276019794182502664625644683837890625 Optimization Status: 2 scenario cost: 101644.276019794182502664625644683837890625 optimization time for scenario: 93 = 0.217205047607421875 scenario cost: 90357.600631519089802168309688568115234375 Optimization Status: 2 scenario cost: 90357.600631519089802168309688568115234375 optimization time for scenario: 94 = 0.1707170009613037109375 scenario cost: 88694.098892825262737460434436798095703125 Optimization Status: 2 scenario cost: 88694.098892825262737460434436798095703125 optimization time for scenario: 95 = 0.1819629669189453125 scenario cost: 84206.9203163111233152449131011962890625 Optimization Status: 2 scenario cost: 84206.9203163111233152449131011962890625 optimization time for scenario: 96 = 0.1140511035919189453125 scenario cost: 88290.896444804224302060902118682861328125 Optimization Status: 2 scenario cost: 88290.896444804224302060902118682861328125 optimization time for scenario: 97 = 0.05889415740966796875 scenario cost: 92022.996504892231314443051815032958984375 Optimization Status: 2 scenario cost: 92022.996504892231314443051815032958984375 optimization time for scenario: 98 = 0.105062007904052734375 scenario cost: 92369.12256339334999211132526397705078125 Optimization Status: 2 scenario cost: 92369.12256339334999211132526397705078125 optimization time for scenario: 99 = 0.171054840087890625 Sending cuts of back to the stg 1 solver Objective Value 14659.190128187374284607358276844024658203125 memory usage: 112242504 received node: gen cut: Rental Cost 0 scenario cost: 79816.38502794670057483017444610595703125 Optimization Status: 2 scenario cost: 79816.38502794670057483017444610595703125 optimization time for scenario: 0 = 0.2276070117950439453125 scenario cost: 84665.1842404897906817495822906494140625 Optimization Status: 2 scenario cost: 84665.1842404897906817495822906494140625 optimization time for scenario: 1 = 0.2919719219207763671875 scenario cost: 89032.336295344211976043879985809326171875 Optimization Status: 2 scenario cost: 89032.336295344211976043879985809326171875 optimization time for scenario: 2 = 0.2234508991241455078125 scenario cost: 89376.767352409355225972831249237060546875 Optimization Status: 2 scenario cost: 89376.767352409355225972831249237060546875 optimization time for scenario: 3 = 0.0602219104766845703125 scenario cost: 95554.03749415345373563468456268310546875 Optimization Status: 2 scenario cost: 95554.03749415345373563468456268310546875 optimization time for scenario: 4 = 0.0636160373687744140625 scenario cost: 99424.697564022135338746011257171630859375 Optimization Status: 2 scenario cost: 99424.697564022135338746011257171630859375 optimization time for scenario: 5 = 0.3593971729278564453125 scenario cost: 86679.81964008245267905294895172119140625 Optimization Status: 2 scenario cost: 86679.81964008245267905294895172119140625 optimization time for scenario: 6 = 0.089374065399169921875 scenario cost: 87146.6703020288259722292423248291015625 Optimization Status: 2 scenario cost: 87146.6703020288259722292423248291015625 optimization time for scenario: 7 = 0.053411006927490234375 scenario cost: 79385.852599856661981903016567230224609375 Optimization Status: 2 scenario cost: 79385.852599856661981903016567230224609375 optimization time for scenario: 8 = 0.050693988800048828125 scenario cost: 96285.923259737450280226767063140869140625 Optimization Status: 2 scenario cost: 96285.923259737450280226767063140869140625 optimization time for scenario: 9 = 0.092319011688232421875 scenario cost: 86544.805842212241259403526782989501953125 Optimization Status: 2 scenario cost: 86544.805842212241259403526782989501953125 optimization time for scenario: 10 = 0.102759838104248046875 scenario cost: 73794.236898089453461579978466033935546875 Optimization Status: 2 scenario cost: 73794.236898089453461579978466033935546875 optimization time for scenario: 11 = 0.1011741161346435546875 scenario cost: 89902.400635578916990198194980621337890625 Optimization Status: 2 scenario cost: 89902.400635578916990198194980621337890625 optimization time for scenario: 12 = 0.05092906951904296875 scenario cost: 86054.988916947724646888673305511474609375 Optimization Status: 2 scenario cost: 86054.988916947724646888673305511474609375 optimization time for scenario: 13 = 0.053429126739501953125 scenario cost: 86125.43568747420795261859893798828125 Optimization Status: 2 scenario cost: 86125.43568747420795261859893798828125 optimization time for scenario: 14 = 0.0902931690216064453125 scenario cost: 100616.578904826033976860344409942626953125 Optimization Status: 2 scenario cost: 100616.578904826033976860344409942626953125 optimization time for scenario: 15 = 0.2114250659942626953125 scenario cost: 83762.770580236872774548828601837158203125 Optimization Status: 2 scenario cost: 83762.770580236872774548828601837158203125 optimization time for scenario: 16 = 0.10303592681884765625 scenario cost: 81706.679469860318931750953197479248046875 Optimization Status: 2 scenario cost: 81706.679469860318931750953197479248046875 optimization time for scenario: 17 = 0.05640697479248046875 scenario cost: 101722.829793918484938330948352813720703125 Optimization Status: 2 scenario cost: 101722.829793918484938330948352813720703125 optimization time for scenario: 18 = 0.05177593231201171875 scenario cost: 87225.67938879228313453495502471923828125 Optimization Status: 2 scenario cost: 87225.67938879228313453495502471923828125 optimization time for scenario: 19 = 0.0501029491424560546875 Sending cuts of back to the stg 1 solver Objective Value 14706.808504980735960998572409152984619140625 memory usage: 112244024 received node: gen cut: Rental Cost 0 scenario cost: 82847.657286640765960328280925750732421875 Optimization Status: 2 scenario cost: 82847.657286640765960328280925750732421875 optimization time for scenario: 80 = 0.14809513092041015625 scenario cost: 99127.0014881232636980712413787841796875 Optimization Status: 2 scenario cost: 99127.0014881232636980712413787841796875 optimization time for scenario: 81 = 0.116880893707275390625 scenario cost: 78873.484112603517132811248302459716796875 Optimization Status: 2 scenario cost: 78873.484112603517132811248302459716796875 optimization time for scenario: 82 = 0.106417179107666015625 scenario cost: 91787.583096184171154163777828216552734375 Optimization Status: 2 scenario cost: 91787.583096184171154163777828216552734375 optimization time for scenario: 83 = 0.1256139278411865234375 scenario cost: 83695.199871452627121470868587493896484375 Optimization Status: 2 scenario cost: 83695.199871452627121470868587493896484375 optimization time for scenario: 84 = 0.1172120571136474609375 scenario cost: 88728.77332877437584102153778076171875 Optimization Status: 2 scenario cost: 88728.77332877437584102153778076171875 optimization time for scenario: 85 = 0.1314690113067626953125 scenario cost: 96355.164451580771128647029399871826171875 Optimization Status: 2 scenario cost: 96355.164451580771128647029399871826171875 optimization time for scenario: 86 = 0.111777782440185546875 scenario cost: 81601.064245113971992395818233489990234375 Optimization Status: 2 scenario cost: 81601.064245113971992395818233489990234375 optimization time for scenario: 87 = 0.12537097930908203125 scenario cost: 79160.63248123586527071893215179443359375 Optimization Status: 2 scenario cost: 79160.63248123586527071893215179443359375 optimization time for scenario: 88 = 0.1118571758270263671875 scenario cost: 80651.790166793580283410847187042236328125 Optimization Status: 2 scenario cost: 80651.790166793580283410847187042236328125 optimization time for scenario: 89 = 0.116981983184814453125 scenario cost: 89646.051967883176985196769237518310546875 Optimization Status: 2 scenario cost: 89646.051967883176985196769237518310546875 optimization time for scenario: 90 = 0.1100940704345703125 scenario cost: 87347.513664530546520836651325225830078125 Optimization Status: 2 scenario cost: 87347.513664530546520836651325225830078125 optimization time for scenario: 91 = 0.055797100067138671875 scenario cost: 85780.528521956657641567289829254150390625 Optimization Status: 2 scenario cost: 85780.528521956657641567289829254150390625 optimization time for scenario: 92 = 0.053700923919677734375 scenario cost: 102197.5886299266130663454532623291015625 Optimization Status: 2 scenario cost: 102197.5886299266130663454532623291015625 optimization time for scenario: 93 = 0.0532391071319580078125 scenario cost: 90876.8196762961451895534992218017578125 Optimization Status: 2 scenario cost: 90876.8196762961451895534992218017578125 optimization time for scenario: 94 = 0.048038959503173828125 scenario cost: 89401.486151181437890045344829559326171875 Optimization Status: 2 scenario cost: 89401.486151181437890045344829559326171875 optimization time for scenario: 95 = 0.0574738979339599609375 scenario cost: 83533.409068197375745512545108795166015625 Optimization Status: 2 scenario cost: 83533.409068197375745512545108795166015625 optimization time for scenario: 96 = 0.0596911907196044921875 scenario cost: 88775.422507523777312599122524261474609375 Optimization Status: 2 scenario cost: 88775.422507523777312599122524261474609375 optimization time for scenario: 97 = 0.0421121120452880859375 scenario cost: 92524.055810358069720678031444549560546875 Optimization Status: 2 scenario cost: 92524.055810358069720678031444549560546875 optimization time for scenario: 98 = 0.03971195220947265625 scenario cost: 92929.912173184755374677479267120361328125 Optimization Status: 2 scenario cost: 92929.912173184755374677479267120361328125 optimization time for scenario: 99 = 0.0380837917327880859375 Sending cuts of back to the stg 1 solver Objective Value 14715.283961124890993232838809490203857421875 memory usage: 112245544 received node: gen cut: Rental Cost 0 scenario cost: 86491.261888689958141185343265533447265625 Optimization Status: 2 scenario cost: 86491.261888689958141185343265533447265625 optimization time for scenario: 20 = 0.131291866302490234375 scenario cost: 76403.675384863847284577786922454833984375 Optimization Status: 2 scenario cost: 76403.675384863847284577786922454833984375 optimization time for scenario: 21 = 0.15371799468994140625 scenario cost: 76191.679121962239150889217853546142578125 Optimization Status: 2 scenario cost: 76191.679121962239150889217853546142578125 optimization time for scenario: 22 = 0.1491429805755615234375 scenario cost: 85160.55386127738165669143199920654296875 Optimization Status: 2 scenario cost: 85160.55386127738165669143199920654296875 optimization time for scenario: 23 = 0.0588319301605224609375 scenario cost: 69811.978179983751033432781696319580078125 Optimization Status: 2 scenario cost: 69811.978179983751033432781696319580078125 optimization time for scenario: 24 = 0.0572860240936279296875 scenario cost: 86479.462188997087650932371616363525390625 Optimization Status: 2 scenario cost: 86479.462188997087650932371616363525390625 optimization time for scenario: 25 = 0.06303691864013671875 scenario cost: 75891.388176665757782757282257080078125 Optimization Status: 2 scenario cost: 75891.388176665757782757282257080078125 optimization time for scenario: 26 = 0.059712886810302734375 scenario cost: 79580.842355645261704921722412109375 Optimization Status: 2 scenario cost: 79580.842355645261704921722412109375 optimization time for scenario: 27 = 0.0615379810333251953125 scenario cost: 91869.971405772070284001529216766357421875 Optimization Status: 2 scenario cost: 91869.971405772070284001529216766357421875 optimization time for scenario: 28 = 0.0532791614532470703125 scenario cost: 83034.936552091603516601026058197021484375 Optimization Status: 2 scenario cost: 83034.936552091603516601026058197021484375 optimization time for scenario: 29 = 0.0593311786651611328125 scenario cost: 110882.30699611260206438601016998291015625 Optimization Status: 2 scenario cost: 110882.30699611260206438601016998291015625 optimization time for scenario: 30 = 0.0700428485870361328125 scenario cost: 88440.7728039932553656399250030517578125 Optimization Status: 2 scenario cost: 88440.7728039932553656399250030517578125 optimization time for scenario: 31 = 0.068252086639404296875 scenario cost: 100443.54056625984958373010158538818359375 Optimization Status: 2 scenario cost: 100443.54056625984958373010158538818359375 optimization time for scenario: 32 = 0.0840129852294921875 scenario cost: 95220.41415821728878654539585113525390625 Optimization Status: 2 scenario cost: 95220.41415821728878654539585113525390625 optimization time for scenario: 33 = 0.1335699558258056640625 scenario cost: 96112.652174906354048289358615875244140625 Optimization Status: 2 scenario cost: 96112.652174906354048289358615875244140625 optimization time for scenario: 34 = 0.0770289897918701171875 scenario cost: 89283.7426018739934079349040985107421875 Optimization Status: 2 scenario cost: 89283.7426018739934079349040985107421875 optimization time for scenario: 35 = 0.1046230792999267578125 scenario cost: 74606.31836817783187143504619598388671875 Optimization Status: 2 scenario cost: 74606.31836817783187143504619598388671875 optimization time for scenario: 36 = 0.0589239597320556640625 scenario cost: 84026.310977489702054299414157867431640625 Optimization Status: 2 scenario cost: 84026.310977489702054299414157867431640625 optimization time for scenario: 37 = 0.0603389739990234375 scenario cost: 92898.967613327098661102354526519775390625 Optimization Status: 2 scenario cost: 92898.967613327098661102354526519775390625 optimization time for scenario: 38 = 0.0550138950347900390625 scenario cost: 82360.306134373895474709570407867431640625 Optimization Status: 2 scenario cost: 82360.306134373895474709570407867431640625 optimization time for scenario: 39 = 0.053576946258544921875 Sending cuts of back to the stg 1 solver Objective Value 14376.534839552958146668970584869384765625 memory usage: 112247064 received node: gen cut: Rental Cost 0 scenario cost: 78736.475066761937341652810573577880859375 Optimization Status: 2 scenario cost: 78736.475066761937341652810573577880859375 optimization time for scenario: 0 = 0.0827960968017578125 scenario cost: 84733.914903508630231954157352447509765625 Optimization Status: 2 scenario cost: 84733.914903508630231954157352447509765625 optimization time for scenario: 1 = 0.06007099151611328125 scenario cost: 88993.2713626017211936414241790771484375 Optimization Status: 2 scenario cost: 88993.2713626017211936414241790771484375 optimization time for scenario: 2 = 0.09790802001953125 scenario cost: 89422.2949532963684760034084320068359375 Optimization Status: 2 scenario cost: 89422.2949532963684760034084320068359375 optimization time for scenario: 3 = 0.09947490692138671875 scenario cost: 95731.413975095274508930742740631103515625 Optimization Status: 2 scenario cost: 95731.413975095274508930742740631103515625 optimization time for scenario: 4 = 0.0606358051300048828125 scenario cost: 99642.953442826968966983258724212646484375 Optimization Status: 2 scenario cost: 99642.953442826968966983258724212646484375 optimization time for scenario: 5 = 0.056744098663330078125 scenario cost: 85923.903047235144185833632946014404296875 Optimization Status: 2 scenario cost: 85923.903047235144185833632946014404296875 optimization time for scenario: 6 = 0.063003063201904296875 scenario cost: 86425.3315220473450608551502227783203125 Optimization Status: 2 scenario cost: 86425.3315220473450608551502227783203125 optimization time for scenario: 7 = 0.0550539493560791015625 scenario cost: 78622.41646675587981007993221282958984375 Optimization Status: 2 scenario cost: 78622.41646675587981007993221282958984375 optimization time for scenario: 8 = 0.056438922882080078125 scenario cost: 96125.93114745864295400679111480712890625 Optimization Status: 2 scenario cost: 96125.93114745864295400679111480712890625 optimization time for scenario: 9 = 0.0550849437713623046875 scenario cost: 86675.455572303893859498202800750732421875 Optimization Status: 2 scenario cost: 86675.455572303893859498202800750732421875 optimization time for scenario: 10 = 0.0569808483123779296875 scenario cost: 72911.951861152003402821719646453857421875 Optimization Status: 2 scenario cost: 72911.951861152003402821719646453857421875 optimization time for scenario: 11 = 0.05755519866943359375 scenario cost: 90760.091025988556793890893459320068359375 Optimization Status: 2 scenario cost: 90760.091025988556793890893459320068359375 optimization time for scenario: 12 = 0.05556201934814453125 scenario cost: 86993.97418924930389039218425750732421875 Optimization Status: 2 scenario cost: 86993.97418924930389039218425750732421875 optimization time for scenario: 13 = 0.063003063201904296875 scenario cost: 86314.876247641266672872006893157958984375 Optimization Status: 2 scenario cost: 86314.876247641266672872006893157958984375 optimization time for scenario: 14 = 0.058225154876708984375 scenario cost: 100730.527677046207827515900135040283203125 Optimization Status: 2 scenario cost: 100730.527677046207827515900135040283203125 optimization time for scenario: 15 = 0.0567438602447509765625 scenario cost: 84532.70429665851406753063201904296875 Optimization Status: 2 scenario cost: 84532.70429665851406753063201904296875 optimization time for scenario: 16 = 0.052606105804443359375 scenario cost: 81737.554943473616731353104114532470703125 Optimization Status: 2 scenario cost: 81737.554943473616731353104114532470703125 optimization time for scenario: 17 = 0.05755901336669921875 scenario cost: 101884.52600997159606777131557464599609375 Optimization Status: 2 scenario cost: 101884.52600997159606777131557464599609375 optimization time for scenario: 18 = 0.09657001495361328125 scenario cost: 87282.372223933503846637904644012451171875 Optimization Status: 2 scenario cost: 87282.372223933503846637904644012451171875 optimization time for scenario: 19 = 0.091763973236083984375 Sending cuts of back to the stg 1 solver Objective Value 14701.45736006038714549504220485687255859375 memory usage: 112248584 received node: gen cut: Rental Cost 0 scenario cost: 84184.238451236378750763833522796630859375 Optimization Status: 2 scenario cost: 84184.238451236378750763833522796630859375 optimization time for scenario: 80 = 0.085774898529052734375 scenario cost: 100969.423076884777401573956012725830078125 Optimization Status: 2 scenario cost: 100969.423076884777401573956012725830078125 optimization time for scenario: 81 = 0.056324005126953125 scenario cost: 80186.600270361042930744588375091552734375 Optimization Status: 2 scenario cost: 80186.600270361042930744588375091552734375 optimization time for scenario: 82 = 0.052381038665771484375 scenario cost: 93291.074477077039773575961589813232421875 Optimization Status: 2 scenario cost: 93291.074477077039773575961589813232421875 optimization time for scenario: 83 = 0.0533940792083740234375 scenario cost: 85070.5263312842580489814281463623046875 Optimization Status: 2 scenario cost: 85070.5263312842580489814281463623046875 optimization time for scenario: 84 = 0.0569508075714111328125 scenario cost: 90229.74035895525594241917133331298828125 Optimization Status: 2 scenario cost: 90229.74035895525594241917133331298828125 optimization time for scenario: 85 = 0.0555040836334228515625 scenario cost: 98107.6238047509104944765567779541015625 Optimization Status: 2 scenario cost: 98107.6238047509104944765567779541015625 optimization time for scenario: 86 = 0.0505809783935546875 scenario cost: 83032.455079488325282000005245208740234375 Optimization Status: 2 scenario cost: 83032.455079488325282000005245208740234375 optimization time for scenario: 87 = 0.0547330379486083984375 scenario cost: 80672.180936357457539997994899749755859375 Optimization Status: 2 scenario cost: 80672.180936357457539997994899749755859375 optimization time for scenario: 88 = 0.0510540008544921875 scenario cost: 82024.189445329990121535956859588623046875 Optimization Status: 2 scenario cost: 82024.189445329990121535956859588623046875 optimization time for scenario: 89 = 0.057879924774169921875 scenario cost: 91067.892752693849615752696990966796875 Optimization Status: 2 scenario cost: 91067.892752693849615752696990966796875 optimization time for scenario: 90 = 0.1118309497833251953125 scenario cost: 89027.532015001474064774811267852783203125 Optimization Status: 2 scenario cost: 89027.532015001474064774811267852783203125 optimization time for scenario: 91 = 0.1146910190582275390625 scenario cost: 87443.79781240582815371453762054443359375 Optimization Status: 2 scenario cost: 87443.79781240582815371453762054443359375 optimization time for scenario: 92 = 0.1164400577545166015625 scenario cost: 103958.85137432513874955475330352783203125 Optimization Status: 2 scenario cost: 103958.85137432513874955475330352783203125 optimization time for scenario: 93 = 0.1211001873016357421875 scenario cost: 92621.922665451784268952906131744384765625 Optimization Status: 2 scenario cost: 92621.922665451784268952906131744384765625 optimization time for scenario: 94 = 0.13041210174560546875 scenario cost: 90742.058527380591840483248233795166015625 Optimization Status: 2 scenario cost: 90742.058527380591840483248233795166015625 optimization time for scenario: 95 = 0.0650451183319091796875 scenario cost: 84554.931117124506272375583648681640625 Optimization Status: 2 scenario cost: 84554.931117124506272375583648681640625 optimization time for scenario: 96 = 0.05951213836669921875 scenario cost: 90508.9959690553951077163219451904296875 Optimization Status: 2 scenario cost: 90508.9959690553951077163219451904296875 optimization time for scenario: 97 = 0.058765888214111328125 scenario cost: 94022.872550609172321856021881103515625 Optimization Status: 2 scenario cost: 94022.872550609172321856021881103515625 optimization time for scenario: 98 = 0.061901092529296875 scenario cost: 94602.667057680970174260437488555908203125 Optimization Status: 2 scenario cost: 94602.667057680970174260437488555908203125 optimization time for scenario: 99 = 0.0557689666748046875 Sending cuts of back to the stg 1 solver Objective Value 14969.269906626313968445174396038055419921875 memory usage: 112250104 received node: gen cut: Rental Cost 0 scenario cost: 94560.1190367182134650647640228271484375 Optimization Status: 2 scenario cost: 94560.1190367182134650647640228271484375 optimization time for scenario: 60 = 0.1421158313751220703125 scenario cost: 78945.591485679047764278948307037353515625 Optimization Status: 2 scenario cost: 78945.591485679047764278948307037353515625 optimization time for scenario: 61 = 0.1355030536651611328125 scenario cost: 80708.212496034844662062823772430419921875 Optimization Status: 2 scenario cost: 80708.212496034844662062823772430419921875 optimization time for scenario: 62 = 0.1215031147003173828125 scenario cost: 81250.494662852419423870742321014404296875 Optimization Status: 2 scenario cost: 81250.494662852419423870742321014404296875 optimization time for scenario: 63 = 0.125659942626953125 scenario cost: 96259.583051024586893618106842041015625 Optimization Status: 2 scenario cost: 96259.583051024586893618106842041015625 optimization time for scenario: 64 = 0.13514423370361328125 scenario cost: 97333.5612622187472879886627197265625 Optimization Status: 2 scenario cost: 97333.5612622187472879886627197265625 optimization time for scenario: 65 = 0.0921800136566162109375 scenario cost: 88578.471598250573151744902133941650390625 Optimization Status: 2 scenario cost: 88578.471598250573151744902133941650390625 optimization time for scenario: 66 = 0.1170690059661865234375 scenario cost: 81861.642419819792849011719226837158203125 Optimization Status: 2 scenario cost: 81861.642419819792849011719226837158203125 optimization time for scenario: 67 = 0.123036861419677734375 scenario cost: 81719.940196002557058818638324737548828125 Optimization Status: 2 scenario cost: 81719.940196002557058818638324737548828125 optimization time for scenario: 68 = 0.1148960590362548828125 scenario cost: 85851.071307998863630928099155426025390625 Optimization Status: 2 scenario cost: 85851.071307998863630928099155426025390625 optimization time for scenario: 69 = 0.105781078338623046875 scenario cost: 78974.464270141252200119197368621826171875 Optimization Status: 2 scenario cost: 78974.464270141252200119197368621826171875 optimization time for scenario: 70 = 0.06803798675537109375 scenario cost: 100921.266494758441695012152194976806640625 Optimization Status: 2 scenario cost: 100921.266494758441695012152194976806640625 optimization time for scenario: 71 = 0.0561277866363525390625 scenario cost: 95236.028295454962062649428844451904296875 Optimization Status: 2 scenario cost: 95236.028295454962062649428844451904296875 optimization time for scenario: 72 = 0.06599903106689453125 scenario cost: 96355.6361598541843704879283905029296875 Optimization Status: 2 scenario cost: 96355.6361598541843704879283905029296875 optimization time for scenario: 73 = 0.0608251094818115234375 scenario cost: 82397.944399498184793628752231597900390625 Optimization Status: 2 scenario cost: 82397.944399498184793628752231597900390625 optimization time for scenario: 74 = 0.0608232021331787109375 scenario cost: 99353.5119046709151007235050201416015625 Optimization Status: 2 scenario cost: 99353.5119046709151007235050201416015625 optimization time for scenario: 75 = 0.124083042144775390625 scenario cost: 88516.1257707822951488196849822998046875 Optimization Status: 2 scenario cost: 88516.1257707822951488196849822998046875 optimization time for scenario: 76 = 0.152823925018310546875 scenario cost: 90141.93536727526225149631500244140625 Optimization Status: 2 scenario cost: 90141.93536727526225149631500244140625 optimization time for scenario: 77 = 0.0564289093017578125 scenario cost: 86251.922775528204510919749736785888671875 Optimization Status: 2 scenario cost: 86251.922775528204510919749736785888671875 optimization time for scenario: 78 = 0.05745697021484375 scenario cost: 83297.118850084792939014732837677001953125 Optimization Status: 2 scenario cost: 83297.118850084792939014732837677001953125 optimization time for scenario: 79 = 0.050981044769287109375 Sending cuts of back to the stg 1 solver Objective Value 14737.563064550673516350798308849334716796875 memory usage: 112251624 received node: gen cut: Rental Cost 0 scenario cost: 94889.51134213057230226695537567138671875 Optimization Status: 2 scenario cost: 94889.51134213057230226695537567138671875 optimization time for scenario: 100 = 0.053720951080322265625 scenario cost: 99892.31205760737066157162189483642578125 Optimization Status: 2 scenario cost: 99892.31205760737066157162189483642578125 optimization time for scenario: 101 = 0.0812962055206298828125 scenario cost: 80015.5971055831178091466426849365234375 Optimization Status: 2 scenario cost: 80015.5971055831178091466426849365234375 optimization time for scenario: 102 = 0.1230909824371337890625 scenario cost: 86481.891727924943552352488040924072265625 Optimization Status: 2 scenario cost: 86481.891727924943552352488040924072265625 optimization time for scenario: 103 = 0.1030428409576416015625 scenario cost: 83495.570130241263541392982006072998046875 Optimization Status: 2 scenario cost: 83495.570130241263541392982006072998046875 optimization time for scenario: 104 = 0.123752117156982421875 scenario cost: 94309.57264456539996899664402008056640625 Optimization Status: 2 scenario cost: 94309.57264456539996899664402008056640625 optimization time for scenario: 105 = 0.1004760265350341796875 scenario cost: 76134.867078453986323438584804534912109375 Optimization Status: 2 scenario cost: 76134.867078453986323438584804534912109375 optimization time for scenario: 106 = 0.106854915618896484375 scenario cost: 90776.402174972477951087057590484619140625 Optimization Status: 2 scenario cost: 90776.402174972477951087057590484619140625 optimization time for scenario: 107 = 0.113986968994140625 scenario cost: 103756.0220023772562853991985321044921875 Optimization Status: 2 scenario cost: 103756.0220023772562853991985321044921875 optimization time for scenario: 108 = 0.3504369258880615234375 scenario cost: 90025.946488485787995159626007080078125 Optimization Status: 2 scenario cost: 90025.946488485787995159626007080078125 optimization time for scenario: 109 = 0.45967388153076171875 scenario cost: 87228.414410334095009602606296539306640625 Optimization Status: 2 scenario cost: 87228.414410334095009602606296539306640625 optimization time for scenario: 110 = 0.519866943359375 scenario cost: 89421.6427990842494182288646697998046875 Optimization Status: 2 scenario cost: 89421.6427990842494182288646697998046875 optimization time for scenario: 111 = 0.3866150379180908203125 scenario cost: 82202.830462924714083783328533172607421875 Optimization Status: 2 scenario cost: 82202.830462924714083783328533172607421875 optimization time for scenario: 112 = 0.263329029083251953125 scenario cost: 95042.9093914232216775417327880859375 Optimization Status: 2 scenario cost: 95042.9093914232216775417327880859375 optimization time for scenario: 113 = 0.373919010162353515625 scenario cost: 79760.055597463346202857792377471923828125 Optimization Status: 2 scenario cost: 79760.055597463346202857792377471923828125 optimization time for scenario: 114 = 0.25187397003173828125 scenario cost: 83358.37769558673608116805553436279296875 Optimization Status: 2 scenario cost: 83358.37769558673608116805553436279296875 optimization time for scenario: 115 = 0.17039012908935546875 scenario cost: 89567.98453904964844696223735809326171875 Optimization Status: 2 scenario cost: 89567.98453904964844696223735809326171875 optimization time for scenario: 116 = 0.1648328304290771484375 scenario cost: 84937.575919681912637315690517425537109375 Optimization Status: 2 scenario cost: 84937.575919681912637315690517425537109375 optimization time for scenario: 117 = 0.0506598949432373046875 scenario cost: 83366.056315532885491847991943359375 Optimization Status: 2 scenario cost: 83366.056315532885491847991943359375 optimization time for scenario: 118 = 0.0310451984405517578125 scenario cost: 81248.07190112513490021228790283203125 Optimization Status: 2 scenario cost: 81248.07190112513490021228790283203125 optimization time for scenario: 119 = 0.0309200286865234375 Sending cuts of back to the stg 1 solver Objective Value 14632.538234484172789962030947208404541015625 memory usage: 112253144 received node: gen cut: Rental Cost 0 scenario cost: 83770.719940339797176420688629150390625 Optimization Status: 2 scenario cost: 83770.719940339797176420688629150390625 optimization time for scenario: 40 = 0.067265033721923828125 scenario cost: 99988.4436473013483919203281402587890625 Optimization Status: 2 scenario cost: 99988.4436473013483919203281402587890625 optimization time for scenario: 41 = 0.0566120147705078125 scenario cost: 87706.12774995641666464507579803466796875 Optimization Status: 2 scenario cost: 87706.12774995641666464507579803466796875 optimization time for scenario: 42 = 0.1231148242950439453125 scenario cost: 81184.87447200695169158279895782470703125 Optimization Status: 2 scenario cost: 81184.87447200695169158279895782470703125 optimization time for scenario: 43 = 0.1170990467071533203125 scenario cost: 104736.681338930196943692862987518310546875 Optimization Status: 2 scenario cost: 104736.681338930196943692862987518310546875 optimization time for scenario: 44 = 0.0584042072296142578125 scenario cost: 85199.016665250077494420111179351806640625 Optimization Status: 2 scenario cost: 85199.016665250077494420111179351806640625 optimization time for scenario: 45 = 0.0613658428192138671875 scenario cost: 87522.84777287914766930043697357177734375 Optimization Status: 2 scenario cost: 87522.84777287914766930043697357177734375 optimization time for scenario: 46 = 0.0586960315704345703125 scenario cost: 99316.00528876137104816734790802001953125 Optimization Status: 2 scenario cost: 99316.00528876137104816734790802001953125 optimization time for scenario: 47 = 0.059078216552734375 scenario cost: 94336.237897504077409394085407257080078125 Optimization Status: 2 scenario cost: 94336.237897504077409394085407257080078125 optimization time for scenario: 48 = 0.063640117645263671875 scenario cost: 88192.44166194289573468267917633056640625 Optimization Status: 2 scenario cost: 88192.44166194289573468267917633056640625 optimization time for scenario: 49 = 0.1050050258636474609375 scenario cost: 73939.648811211765860207378864288330078125 Optimization Status: 2 scenario cost: 73939.648811211765860207378864288330078125 optimization time for scenario: 50 = 0.0592520236968994140625 scenario cost: 108719.64799663316807709634304046630859375 Optimization Status: 2 scenario cost: 108719.64799663316807709634304046630859375 optimization time for scenario: 51 = 0.060141086578369140625 scenario cost: 81070.233640359598211944103240966796875 Optimization Status: 2 scenario cost: 81070.233640359598211944103240966796875 optimization time for scenario: 52 = 0.0637919902801513671875 scenario cost: 77217.392741960371495224535465240478515625 Optimization Status: 2 scenario cost: 77217.392741960371495224535465240478515625 optimization time for scenario: 53 = 0.0775730609893798828125 scenario cost: 76149.539176614474854432046413421630859375 Optimization Status: 2 scenario cost: 76149.539176614474854432046413421630859375 optimization time for scenario: 54 = 0.119963169097900390625 scenario cost: 79940.97116982334409840404987335205078125 Optimization Status: 2 scenario cost: 79940.97116982334409840404987335205078125 optimization time for scenario: 55 = 0.1310889720916748046875 scenario cost: 86497.379356161691248416900634765625 Optimization Status: 2 scenario cost: 86497.379356161691248416900634765625 optimization time for scenario: 56 = 0.06995391845703125 scenario cost: 89534.426263940709759481251239776611328125 Optimization Status: 2 scenario cost: 89534.426263940709759481251239776611328125 optimization time for scenario: 57 = 0.058949947357177734375 scenario cost: 90208.95221640286035835742950439453125 Optimization Status: 2 scenario cost: 90208.95221640286035835742950439453125 optimization time for scenario: 58 = 0.0585510730743408203125 scenario cost: 98259.4329689619480632245540618896484375 Optimization Status: 2 scenario cost: 98259.4329689619480632245540618896484375 optimization time for scenario: 59 = 0.060039997100830078125 Sending cuts of back to the stg 1 solver Objective Value 14779.0327234404903720133006572723388671875 memory usage: 112254664 received node: gen cut: Rental Cost 0 scenario cost: 83664.426586044064606539905071258544921875 Optimization Status: 2 scenario cost: 83664.426586044064606539905071258544921875 optimization time for scenario: 80 = 0.0957620143890380859375 scenario cost: 100246.028738001434248872101306915283203125 Optimization Status: 2 scenario cost: 100246.028738001434248872101306915283203125 optimization time for scenario: 81 = 0.13257503509521484375 scenario cost: 79921.286207948302035219967365264892578125 Optimization Status: 2 scenario cost: 79921.286207948302035219967365264892578125 optimization time for scenario: 82 = 0.13410186767578125 scenario cost: 92919.611509457856300286948680877685546875 Optimization Status: 2 scenario cost: 92919.611509457856300286948680877685546875 optimization time for scenario: 83 = 0.1244809627532958984375 scenario cost: 85780.374002072974690236151218414306640625 Optimization Status: 2 scenario cost: 85780.374002072974690236151218414306640625 optimization time for scenario: 84 = 0.125358104705810546875 scenario cost: 90006.51237481166026555001735687255859375 Optimization Status: 2 scenario cost: 90006.51237481166026555001735687255859375 optimization time for scenario: 85 = 0.13074588775634765625 scenario cost: 97726.104442013267544098198413848876953125 Optimization Status: 2 scenario cost: 97726.104442013267544098198413848876953125 optimization time for scenario: 86 = 0.1398029327392578125 scenario cost: 82772.490372066866257227957248687744140625 Optimization Status: 2 scenario cost: 82772.490372066866257227957248687744140625 optimization time for scenario: 87 = 0.1336820125579833984375 scenario cost: 80537.560876995907165110111236572265625 Optimization Status: 2 scenario cost: 80537.560876995907165110111236572265625 optimization time for scenario: 88 = 0.1279690265655517578125 scenario cost: 82699.051627780427224934101104736328125 Optimization Status: 2 scenario cost: 82699.051627780427224934101104736328125 optimization time for scenario: 89 = 0.1486189365386962890625 scenario cost: 91808.402185192084289155900478363037109375 Optimization Status: 2 scenario cost: 91808.402185192084289155900478363037109375 optimization time for scenario: 90 = 0.1193749904632568359375 scenario cost: 88722.960088062201975844800472259521484375 Optimization Status: 2 scenario cost: 88722.960088062201975844800472259521484375 optimization time for scenario: 91 = 0.082686901092529296875 scenario cost: 87088.639698542319820262491703033447265625 Optimization Status: 2 scenario cost: 87088.639698542319820262491703033447265625 optimization time for scenario: 92 = 0.0765450000762939453125 scenario cost: 103577.22567109708325006067752838134765625 Optimization Status: 2 scenario cost: 103577.22567109708325006067752838134765625 optimization time for scenario: 93 = 0.1097400188446044921875 scenario cost: 92302.87342032766900956630706787109375 Optimization Status: 2 scenario cost: 92302.87342032766900956630706787109375 optimization time for scenario: 94 = 0.113941192626953125 scenario cost: 90280.472376574893132783472537994384765625 Optimization Status: 2 scenario cost: 90280.472376574893132783472537994384765625 optimization time for scenario: 95 = 0.0758168697357177734375 scenario cost: 85271.373899259589961729943752288818359375 Optimization Status: 2 scenario cost: 85271.373899259589961729943752288818359375 optimization time for scenario: 96 = 0.040187835693359375 scenario cost: 90180.647445980212069116532802581787109375 Optimization Status: 2 scenario cost: 90180.647445980212069116532802581787109375 optimization time for scenario: 97 = 0.0386989116668701171875 scenario cost: 93696.222119041733094491064548492431640625 Optimization Status: 2 scenario cost: 93696.222119041733094491064548492431640625 optimization time for scenario: 98 = 0.038982868194580078125 scenario cost: 94186.643951000995002686977386474609375 Optimization Status: 2 scenario cost: 94186.643951000995002686977386474609375 optimization time for scenario: 99 = 0.0378940105438232421875 Sending cuts of back to the stg 1 solver Objective Value 14944.84778363867735606618225574493408203125 memory usage: 112256184 received node: gen cut: Rental Cost 0 scenario cost: 88331.26583649418898858129978179931640625 Optimization Status: 2 scenario cost: 88331.26583649418898858129978179931640625 optimization time for scenario: 20 = 0.0700180530548095703125 scenario cost: 78159.696676995474263094365596771240234375 Optimization Status: 2 scenario cost: 78159.696676995474263094365596771240234375 optimization time for scenario: 21 = 0.124462127685546875 scenario cost: 77525.601696153622469864785671234130859375 Optimization Status: 2 scenario cost: 77525.601696153622469864785671234130859375 optimization time for scenario: 22 = 0.1186029911041259765625 scenario cost: 86506.530757546846871264278888702392578125 Optimization Status: 2 scenario cost: 86506.530757546846871264278888702392578125 optimization time for scenario: 23 = 0.086575984954833984375 scenario cost: 71047.156735085693071596324443817138671875 Optimization Status: 2 scenario cost: 71047.156735085693071596324443817138671875 optimization time for scenario: 24 = 0.0552470684051513671875 scenario cost: 88244.9241622303961776196956634521484375 Optimization Status: 2 scenario cost: 88244.9241622303961776196956634521484375 optimization time for scenario: 25 = 0.0549209117889404296875 scenario cost: 77442.454850241265376098453998565673828125 Optimization Status: 2 scenario cost: 77442.454850241265376098453998565673828125 optimization time for scenario: 26 = 0.0558688640594482421875 scenario cost: 81395.305471653715358115732669830322265625 Optimization Status: 2 scenario cost: 81395.305471653715358115732669830322265625 optimization time for scenario: 27 = 0.10793018341064453125 scenario cost: 93563.00427666030009277164936065673828125 Optimization Status: 2 scenario cost: 93563.00427666030009277164936065673828125 optimization time for scenario: 28 = 0.1132450103759765625 scenario cost: 84852.091571697601466439664363861083984375 Optimization Status: 2 scenario cost: 84852.091571697601466439664363861083984375 optimization time for scenario: 29 = 0.11376285552978515625 scenario cost: 113437.5590992370271123945713043212890625 Optimization Status: 2 scenario cost: 113437.5590992370271123945713043212890625 optimization time for scenario: 30 = 0.112844944000244140625 scenario cost: 90551.579470453434623777866363525390625 Optimization Status: 2 scenario cost: 90551.579470453434623777866363525390625 optimization time for scenario: 31 = 0.1119649410247802734375 scenario cost: 102798.52116313108126632869243621826171875 Optimization Status: 2 scenario cost: 102798.52116313108126632869243621826171875 optimization time for scenario: 32 = 0.05490207672119140625 scenario cost: 96953.079120978989521972835063934326171875 Optimization Status: 2 scenario cost: 96953.079120978989521972835063934326171875 optimization time for scenario: 33 = 0.0548441410064697265625 scenario cost: 98504.61498038657009601593017578125 Optimization Status: 2 scenario cost: 98504.61498038657009601593017578125 optimization time for scenario: 34 = 0.0509891510009765625 scenario cost: 91133.22653849594644270837306976318359375 Optimization Status: 2 scenario cost: 91133.22653849594644270837306976318359375 optimization time for scenario: 35 = 0.0537478923797607421875 scenario cost: 76522.204901506542228162288665771484375 Optimization Status: 2 scenario cost: 76522.204901506542228162288665771484375 optimization time for scenario: 36 = 0.05330181121826171875 scenario cost: 85756.064668704158975742757320404052734375 Optimization Status: 2 scenario cost: 85756.064668704158975742757320404052734375 optimization time for scenario: 37 = 0.054358959197998046875 scenario cost: 94555.455433750306838192045688629150390625 Optimization Status: 2 scenario cost: 94555.455433750306838192045688629150390625 optimization time for scenario: 38 = 0.0533130168914794921875 scenario cost: 84173.876772745206835679709911346435546875 Optimization Status: 2 scenario cost: 84173.876772745206835679709911346435546875 optimization time for scenario: 39 = 0.050651073455810546875 Sending cuts of back to the stg 1 solver Objective Value 14678.726403060763914254494011402130126953125 memory usage: 112257704 received node: gen cut: Rental Cost 0 scenario cost: 85862.761971940271905623376369476318359375 Optimization Status: 2 scenario cost: 85862.761971940271905623376369476318359375 optimization time for scenario: 80 = 0.087935924530029296875 scenario cost: 103975.632809635120793245732784271240234375 Optimization Status: 2 scenario cost: 103975.632809635120793245732784271240234375 optimization time for scenario: 81 = 0.079431056976318359375 scenario cost: 82128.08869818013045005500316619873046875 Optimization Status: 2 scenario cost: 82128.08869818013045005500316619873046875 optimization time for scenario: 82 = 0.089087009429931640625 scenario cost: 95001.263772567835985682904720306396484375 Optimization Status: 2 scenario cost: 95001.263772567835985682904720306396484375 optimization time for scenario: 83 = 0.0548660755157470703125 scenario cost: 85699.492525527326506562530994415283203125 Optimization Status: 2 scenario cost: 85699.492525527326506562530994415283203125 optimization time for scenario: 84 = 0.059523105621337890625 scenario cost: 92178.13336831823107786476612091064453125 Optimization Status: 2 scenario cost: 92178.13336831823107786476612091064453125 optimization time for scenario: 85 = 0.0504190921783447265625 scenario cost: 100022.581746177966124378144741058349609375 Optimization Status: 2 scenario cost: 100022.581746177966124378144741058349609375 optimization time for scenario: 86 = 0.0575668811798095703125 scenario cost: 85095.941118722446844913065433502197265625 Optimization Status: 2 scenario cost: 85095.941118722446844913065433502197265625 optimization time for scenario: 87 = 0.0507099628448486328125 scenario cost: 82763.89941396922222338616847991943359375 Optimization Status: 2 scenario cost: 82763.89941396922222338616847991943359375 optimization time for scenario: 88 = 0.053844928741455078125 scenario cost: 82751.0973783186054788529872894287109375 Optimization Status: 2 scenario cost: 82751.0973783186054788529872894287109375 optimization time for scenario: 89 = 0.0508368015289306640625 scenario cost: 93040.021741984804975800216197967529296875 Optimization Status: 2 scenario cost: 93040.021741984804975800216197967529296875 optimization time for scenario: 90 = 0.053897857666015625 scenario cost: 91057.075818322147824801504611968994140625 Optimization Status: 2 scenario cost: 91057.075818322147824801504611968994140625 optimization time for scenario: 91 = 0.052302837371826171875 scenario cost: 89626.483159280920517630875110626220703125 Optimization Status: 2 scenario cost: 89626.483159280920517630875110626220703125 optimization time for scenario: 92 = 0.0575721263885498046875 scenario cost: 105876.642267181348870508372783660888671875 Optimization Status: 2 scenario cost: 105876.642267181348870508372783660888671875 optimization time for scenario: 93 = 0.052709102630615234375 scenario cost: 94598.312839482896379195153713226318359375 Optimization Status: 2 scenario cost: 94598.312839482896379195153713226318359375 optimization time for scenario: 94 = 0.05733013153076171875 scenario cost: 92487.468674911302514374256134033203125 Optimization Status: 2 scenario cost: 92487.468674911302514374256134033203125 optimization time for scenario: 95 = 0.0493450164794921875 scenario cost: 86348.515386706087156198918819427490234375 Optimization Status: 2 scenario cost: 86348.515386706087156198918819427490234375 optimization time for scenario: 96 = 0.0699870586395263671875 scenario cost: 92469.002817507483996450901031494140625 Optimization Status: 2 scenario cost: 92469.002817507483996450901031494140625 optimization time for scenario: 97 = 0.1026909351348876953125 scenario cost: 96568.819711645250208675861358642578125 Optimization Status: 2 scenario cost: 96568.819711645250208675861358642578125 optimization time for scenario: 98 = 0.1171090602874755859375 scenario cost: 97529.11169431792222894728183746337890625 Optimization Status: 2 scenario cost: 97529.11169431792222894728183746337890625 optimization time for scenario: 99 = 0.1236898899078369140625 Sending cuts of back to the stg 1 solver Objective Value 15292.27505494424622156657278537750244140625 memory usage: 112259224 received node: gen cut: Rental Cost 0 scenario cost: 90232.561312388061196543276309967041015625 Optimization Status: 2 scenario cost: 90232.561312388061196543276309967041015625 optimization time for scenario: 20 = 0.1341381072998046875 scenario cost: 79767.281227112966007553040981292724609375 Optimization Status: 2 scenario cost: 79767.281227112966007553040981292724609375 optimization time for scenario: 21 = 0.1213409900665283203125 scenario cost: 79361.35255972147569991648197174072265625 Optimization Status: 2 scenario cost: 79361.35255972147569991648197174072265625 optimization time for scenario: 22 = 0.129477977752685546875 scenario cost: 88218.645073141917237080633640289306640625 Optimization Status: 2 scenario cost: 88218.645073141917237080633640289306640625 optimization time for scenario: 23 = 0.10813999176025390625 scenario cost: 72827.537090683705173432826995849609375 Optimization Status: 2 scenario cost: 72827.537090683705173432826995849609375 optimization time for scenario: 24 = 0.11129093170166015625 scenario cost: 90125.6075752941542305052280426025390625 Optimization Status: 2 scenario cost: 90125.6075752941542305052280426025390625 optimization time for scenario: 25 = 0.1337490081787109375 scenario cost: 79282.301502187154255807399749755859375 Optimization Status: 2 scenario cost: 79282.301502187154255807399749755859375 optimization time for scenario: 26 = 0.1337411403656005859375 scenario cost: 83152.46897915090085007250308990478515625 Optimization Status: 2 scenario cost: 83152.46897915090085007250308990478515625 optimization time for scenario: 27 = 0.15114498138427734375 scenario cost: 95366.048923087466391734778881072998046875 Optimization Status: 2 scenario cost: 95366.048923087466391734778881072998046875 optimization time for scenario: 28 = 0.1307659149169921875 scenario cost: 86421.999842870500287972390651702880859375 Optimization Status: 2 scenario cost: 86421.999842870500287972390651702880859375 optimization time for scenario: 29 = 0.11367702484130859375 scenario cost: 115644.793508812421350739896297454833984375 Optimization Status: 2 scenario cost: 115644.793508812421350739896297454833984375 optimization time for scenario: 30 = 0.1075460910797119140625 scenario cost: 92542.824121447934885509312152862548828125 Optimization Status: 2 scenario cost: 92542.824121447934885509312152862548828125 optimization time for scenario: 31 = 0.108355998992919921875 scenario cost: 105014.408439775594160892069339752197265625 Optimization Status: 2 scenario cost: 105014.408439775594160892069339752197265625 optimization time for scenario: 32 = 0.05350208282470703125 scenario cost: 98827.82409847262897528707981109619140625 Optimization Status: 2 scenario cost: 98827.82409847262897528707981109619140625 optimization time for scenario: 33 = 0.0571539402008056640625 scenario cost: 100668.099833466185373254120349884033203125 Optimization Status: 2 scenario cost: 100668.099833466185373254120349884033203125 optimization time for scenario: 34 = 0.042362213134765625 scenario cost: 92649.93418787070550024509429931640625 Optimization Status: 2 scenario cost: 92649.93418787070550024509429931640625 optimization time for scenario: 35 = 0.032145023345947265625 scenario cost: 78124.18013172302744351327419281005859375 Optimization Status: 2 scenario cost: 78124.18013172302744351327419281005859375 optimization time for scenario: 36 = 0.0360600948333740234375 scenario cost: 87180.493820199873880483210086822509765625 Optimization Status: 2 scenario cost: 87180.493820199873880483210086822509765625 optimization time for scenario: 37 = 0.033586025238037109375 scenario cost: 96014.799798743581050075590610504150390625 Optimization Status: 2 scenario cost: 96014.799798743581050075590610504150390625 optimization time for scenario: 38 = 0.0347659587860107421875 scenario cost: 85743.1663772276951931416988372802734375 Optimization Status: 2 scenario cost: 85743.1663772276951931416988372802734375 optimization time for scenario: 39 = 0.0287702083587646484375 Sending cuts of back to the stg 1 solver Objective Value 14976.326164483869433752261102199554443359375 memory usage: 112260744 received node: gen cut: Rental Cost 0 scenario cost: 78459.170832789110136218369007110595703125 Optimization Status: 2 scenario cost: 78459.170832789110136218369007110595703125 optimization time for scenario: 0 = 0.0520761013031005859375 scenario cost: 85994.24166869322652928531169891357421875 Optimization Status: 2 scenario cost: 85994.24166869322652928531169891357421875 optimization time for scenario: 1 = 0.12609004974365234375 scenario cost: 90392.572118126205168664455413818359375 Optimization Status: 2 scenario cost: 90392.572118126205168664455413818359375 optimization time for scenario: 2 = 0.06459903717041015625 scenario cost: 90865.371758113687974400818347930908203125 Optimization Status: 2 scenario cost: 90865.371758113687974400818347930908203125 optimization time for scenario: 3 = 0.0509231090545654296875 scenario cost: 97323.925692378732492215931415557861328125 Optimization Status: 2 scenario cost: 97323.925692378732492215931415557861328125 optimization time for scenario: 4 = 0.0537259578704833984375 scenario cost: 100980.292019953063572756946086883544921875 Optimization Status: 2 scenario cost: 100980.292019953063572756946086883544921875 optimization time for scenario: 5 = 0.0521728992462158203125 scenario cost: 87037.4651649365550838410854339599609375 Optimization Status: 2 scenario cost: 87037.4651649365550838410854339599609375 optimization time for scenario: 6 = 0.0534210205078125 scenario cost: 87427.36342730207252316176891326904296875 Optimization Status: 2 scenario cost: 87427.36342730207252316176891326904296875 optimization time for scenario: 7 = 0.0844929218292236328125 scenario cost: 79738.0131735411123372614383697509765625 Optimization Status: 2 scenario cost: 79738.0131735411123372614383697509765625 optimization time for scenario: 8 = 0.3656489849090576171875 scenario cost: 97680.66316848303540609776973724365234375 Optimization Status: 2 scenario cost: 97680.66316848303540609776973724365234375 optimization time for scenario: 9 = 0.3859050273895263671875 scenario cost: 88077.453051345466519705951213836669921875 Optimization Status: 2 scenario cost: 88077.453051345466519705951213836669921875 optimization time for scenario: 10 = 0.253920078277587890625 scenario cost: 72841.1569806883926503360271453857421875 Optimization Status: 2 scenario cost: 72841.1569806883926503360271453857421875 optimization time for scenario: 11 = 0.2317559719085693359375 scenario cost: 92872.8442121050902642309665679931640625 Optimization Status: 2 scenario cost: 92872.8442121050902642309665679931640625 optimization time for scenario: 12 = 0.199520111083984375 scenario cost: 88984.782486735566635616123676300048828125 Optimization Status: 2 scenario cost: 88984.782486735566635616123676300048828125 optimization time for scenario: 13 = 0.1867020130157470703125 scenario cost: 87436.266201041042222641408443450927734375 Optimization Status: 2 scenario cost: 87436.266201041042222641408443450927734375 optimization time for scenario: 14 = 0.1914579868316650390625 scenario cost: 102141.433563272687024436891078948974609375 Optimization Status: 2 scenario cost: 102141.433563272687024436891078948974609375 optimization time for scenario: 15 = 0.1765639781951904296875 scenario cost: 86382.2943892264156602323055267333984375 Optimization Status: 2 scenario cost: 86382.2943892264156602323055267333984375 optimization time for scenario: 16 = 0.1736180782318115234375 scenario cost: 82923.427787059845286421477794647216796875 Optimization Status: 2 scenario cost: 82923.427787059845286421477794647216796875 optimization time for scenario: 17 = 0.2373168468475341796875 scenario cost: 103332.940952651188126765191555023193359375 Optimization Status: 2 scenario cost: 103332.940952651188126765191555023193359375 optimization time for scenario: 18 = 0.17105007171630859375 scenario cost: 88827.62795881438069045543670654296875 Optimization Status: 2 scenario cost: 88827.62795881438069045543670654296875 optimization time for scenario: 19 = 0.274363040924072265625 Sending cuts of back to the stg 1 solver Objective Value 14914.267897750252814148552715778350830078125 memory usage: 112262264 received node: gen cut: Rental Cost 0 scenario cost: 85132.594892508219345472753047943115234375 Optimization Status: 2 scenario cost: 85132.594892508219345472753047943115234375 optimization time for scenario: 80 = 0.114943981170654296875 scenario cost: 102487.1762064010836184024810791015625 Optimization Status: 2 scenario cost: 102487.1762064010836184024810791015625 optimization time for scenario: 81 = 0.1171748638153076171875 scenario cost: 81381.33675343074719421565532684326171875 Optimization Status: 2 scenario cost: 81381.33675343074719421565532684326171875 optimization time for scenario: 82 = 0.1203830242156982421875 scenario cost: 94215.73230923656956292688846588134765625 Optimization Status: 2 scenario cost: 94215.73230923656956292688846588134765625 optimization time for scenario: 83 = 0.1127498149871826171875 scenario cost: 85174.801648111591930501163005828857421875 Optimization Status: 2 scenario cost: 85174.801648111591930501163005828857421875 optimization time for scenario: 84 = 0.1125209331512451171875 scenario cost: 91340.981458648995612747967243194580078125 Optimization Status: 2 scenario cost: 91340.981458648995612747967243194580078125 optimization time for scenario: 85 = 0.113443851470947265625 scenario cost: 99295.1557905217050574719905853271484375 Optimization Status: 2 scenario cost: 99295.1557905217050574719905853271484375 optimization time for scenario: 86 = 0.105391025543212890625 scenario cost: 84353.132066984297125600278377532958984375 Optimization Status: 2 scenario cost: 84353.132066984297125600278377532958984375 optimization time for scenario: 87 = 0.1126461029052734375 scenario cost: 82089.9420717296306975185871124267578125 Optimization Status: 2 scenario cost: 82089.9420717296306975185871124267578125 optimization time for scenario: 88 = 0.108108997344970703125 scenario cost: 82219.9701438989141024649143218994140625 Optimization Status: 2 scenario cost: 82219.9701438989141024649143218994140625 optimization time for scenario: 89 = 0.109551906585693359375 scenario cost: 92296.841862272165599279105663299560546875 Optimization Status: 2 scenario cost: 92296.841862272165599279105663299560546875 optimization time for scenario: 90 = 0.12069416046142578125 scenario cost: 90295.382964141826960258185863494873046875 Optimization Status: 2 scenario cost: 90295.382964141826960258185863494873046875 optimization time for scenario: 91 = 0.1023199558258056640625 scenario cost: 88566.317126713343895971775054931640625 Optimization Status: 2 scenario cost: 88566.317126713343895971775054931640625 optimization time for scenario: 92 = 0.05416584014892578125 scenario cost: 105098.351129632224910892546176910400390625 Optimization Status: 2 scenario cost: 105098.351129632224910892546176910400390625 optimization time for scenario: 93 = 0.053330898284912109375 scenario cost: 93846.99752317057573236525058746337890625 Optimization Status: 2 scenario cost: 93846.99752317057573236525058746337890625 optimization time for scenario: 94 = 0.0561931133270263671875 scenario cost: 91725.966389296008856035768985748291015625 Optimization Status: 2 scenario cost: 91725.966389296008856035768985748291015625 optimization time for scenario: 95 = 0.05138397216796875 scenario cost: 85600.8693881111103110015392303466796875 Optimization Status: 2 scenario cost: 85600.8693881111103110015392303466796875 optimization time for scenario: 96 = 0.0413539409637451171875 scenario cost: 91707.435677643821691162884235382080078125 Optimization Status: 2 scenario cost: 91707.435677643821691162884235382080078125 optimization time for scenario: 97 = 0.032083034515380859375 scenario cost: 95229.90643732951139099895954132080078125 Optimization Status: 2 scenario cost: 95229.90643732951139099895954132080078125 optimization time for scenario: 98 = 0.029788970947265625 scenario cost: 96038.90104104529018513858318328857421875 Optimization Status: 2 scenario cost: 96038.90104104529018513858318328857421875 optimization time for scenario: 99 = 0.028542995452880859375 Sending cuts of back to the stg 1 solver Objective Value 15150.75433741380038554780185222625732421875 memory usage: 112263784 received node: gen cut: Rental Cost 0 scenario cost: 97963.477874342715949751436710357666015625 Optimization Status: 2 scenario cost: 97963.477874342715949751436710357666015625 optimization time for scenario: 100 = 0.0545499324798583984375 scenario cost: 102757.52269529146724380552768707275390625 Optimization Status: 2 scenario cost: 102757.52269529146724380552768707275390625 optimization time for scenario: 101 = 0.0595760345458984375 scenario cost: 82608.78523679039790295064449310302734375 Optimization Status: 2 scenario cost: 82608.78523679039790295064449310302734375 optimization time for scenario: 102 = 0.0561370849609375 scenario cost: 89456.108996793729602359235286712646484375 Optimization Status: 2 scenario cost: 89456.108996793729602359235286712646484375 optimization time for scenario: 103 = 0.09047603607177734375 scenario cost: 85817.431084877796820364892482757568359375 Optimization Status: 2 scenario cost: 85817.431084877796820364892482757568359375 optimization time for scenario: 104 = 0.1441280841827392578125 scenario cost: 98044.532298261896357871592044830322265625 Optimization Status: 2 scenario cost: 98044.532298261896357871592044830322265625 optimization time for scenario: 105 = 0.120275974273681640625 scenario cost: 78739.7982175307697616517543792724609375 Optimization Status: 2 scenario cost: 78739.7982175307697616517543792724609375 optimization time for scenario: 106 = 0.151154994964599609375 scenario cost: 93212.43093140728888101875782012939453125 Optimization Status: 2 scenario cost: 93212.43093140728888101875782012939453125 optimization time for scenario: 107 = 0.112121105194091796875 scenario cost: 106390.123927424792782403528690338134765625 Optimization Status: 2 scenario cost: 106390.123927424792782403528690338134765625 optimization time for scenario: 108 = 0.10585308074951171875 scenario cost: 92084.25855029546073637902736663818359375 Optimization Status: 2 scenario cost: 92084.25855029546073637902736663818359375 optimization time for scenario: 109 = 0.1295349597930908203125 scenario cost: 89613.67128593943198211491107940673828125 Optimization Status: 2 scenario cost: 89613.67128593943198211491107940673828125 optimization time for scenario: 110 = 0.0649878978729248046875 scenario cost: 91670.239182051955140195786952972412109375 Optimization Status: 2 scenario cost: 91670.239182051955140195786952972412109375 optimization time for scenario: 111 = 0.061192035675048828125 scenario cost: 84848.3847549588535912334918975830078125 Optimization Status: 2 scenario cost: 84848.3847549588535912334918975830078125 optimization time for scenario: 112 = 0.0660998821258544921875 scenario cost: 98013.860643044594326056540012359619140625 Optimization Status: 2 scenario cost: 98013.860643044594326056540012359619140625 optimization time for scenario: 113 = 0.0590589046478271484375 scenario cost: 82607.660455330755212344229221343994140625 Optimization Status: 2 scenario cost: 82607.660455330755212344229221343994140625 optimization time for scenario: 114 = 0.0702168941497802734375 scenario cost: 85787.225834896686137653887271881103515625 Optimization Status: 2 scenario cost: 85787.225834896686137653887271881103515625 optimization time for scenario: 115 = 0.1091129779815673828125 scenario cost: 92444.534923404266010038554668426513671875 Optimization Status: 2 scenario cost: 92444.534923404266010038554668426513671875 optimization time for scenario: 116 = 0.0944950580596923828125 scenario cost: 87399.793992487524519674479961395263671875 Optimization Status: 2 scenario cost: 87399.793992487524519674479961395263671875 optimization time for scenario: 117 = 0.0516250133514404296875 scenario cost: 86366.91655871455441229045391082763671875 Optimization Status: 2 scenario cost: 86366.91655871455441229045391082763671875 optimization time for scenario: 118 = 0.0339100360870361328125 scenario cost: 84310.559836822314537130296230316162109375 Optimization Status: 2 scenario cost: 84310.559836822314537130296230316162109375 optimization time for scenario: 119 = 0.036157131195068359375 Sending cuts of back to the stg 1 solver Objective Value 15084.417306094985178788192570209503173828125 memory usage: 112265304 received node: gen cut: Rental Cost 0 scenario cost: 98116.983844332062290050089359283447265625 Optimization Status: 2 scenario cost: 98116.983844332062290050089359283447265625 optimization time for scenario: 100 = 0.123342037200927734375 scenario cost: 102873.60649615366128273308277130126953125 Optimization Status: 2 scenario cost: 102873.60649615366128273308277130126953125 optimization time for scenario: 101 = 0.1098988056182861328125 scenario cost: 82348.078327496652491390705108642578125 Optimization Status: 2 scenario cost: 82348.078327496652491390705108642578125 optimization time for scenario: 102 = 0.108170986175537109375 scenario cost: 89140.87172060451121069490909576416015625 Optimization Status: 2 scenario cost: 89140.87172060451121069490909576416015625 optimization time for scenario: 103 = 0.134582996368408203125 scenario cost: 85553.319746625798870809376239776611328125 Optimization Status: 2 scenario cost: 85553.319746625798870809376239776611328125 optimization time for scenario: 104 = 0.118897914886474609375 scenario cost: 98218.552404610891244374215602874755859375 Optimization Status: 2 scenario cost: 98218.552404610891244374215602874755859375 optimization time for scenario: 105 = 0.1159460544586181640625 scenario cost: 78397.9422415423323400318622589111328125 Optimization Status: 2 scenario cost: 78397.9422415423323400318622589111328125 optimization time for scenario: 106 = 0.107347011566162109375 scenario cost: 92909.65267138884519226849079132080078125 Optimization Status: 2 scenario cost: 92909.65267138884519226849079132080078125 optimization time for scenario: 107 = 0.1049289703369140625 scenario cost: 106220.300991645199246704578399658203125 Optimization Status: 2 scenario cost: 106220.300991645199246704578399658203125 optimization time for scenario: 108 = 0.0572149753570556640625 scenario cost: 91766.503092871178523637354373931884765625 Optimization Status: 2 scenario cost: 91766.503092871178523637354373931884765625 optimization time for scenario: 109 = 0.060367107391357421875 scenario cost: 89389.20917868436663411557674407958984375 Optimization Status: 2 scenario cost: 89389.20917868436663411557674407958984375 optimization time for scenario: 110 = 0.0554959774017333984375 scenario cost: 91354.12769520576694048941135406494140625 Optimization Status: 2 scenario cost: 91354.12769520576694048941135406494140625 optimization time for scenario: 111 = 0.059933185577392578125 scenario cost: 84534.934653066491591744124889373779296875 Optimization Status: 2 scenario cost: 84534.934653066491591744124889373779296875 optimization time for scenario: 112 = 0.058928012847900390625 scenario cost: 97737.763385913218371570110321044921875 Optimization Status: 2 scenario cost: 97737.763385913218371570110321044921875 optimization time for scenario: 113 = 0.0683290958404541015625 scenario cost: 82305.073368056837352924048900604248046875 Optimization Status: 2 scenario cost: 82305.073368056837352924048900604248046875 optimization time for scenario: 114 = 0.0664341449737548828125 scenario cost: 85505.09185399222769774496555328369140625 Optimization Status: 2 scenario cost: 85505.09185399222769774496555328369140625 optimization time for scenario: 115 = 0.058330059051513671875 scenario cost: 92219.3035223540500737726688385009765625 Optimization Status: 2 scenario cost: 92219.3035223540500737726688385009765625 optimization time for scenario: 116 = 0.0685279369354248046875 scenario cost: 87165.459525763508281670510768890380859375 Optimization Status: 2 scenario cost: 87165.459525763508281670510768890380859375 optimization time for scenario: 117 = 0.0537989139556884765625 scenario cost: 86203.99401510809548199176788330078125 Optimization Status: 2 scenario cost: 86203.99401510809548199176788330078125 optimization time for scenario: 118 = 0.061564922332763671875 scenario cost: 83953.86218694041599519550800323486328125 Optimization Status: 2 scenario cost: 83953.86218694041599519550800323486328125 optimization time for scenario: 119 = 0.0533630847930908203125 Sending cuts of back to the stg 1 solver Objective Value 15049.228393865270845708437263965606689453125 memory usage: 112266824 received node: gen cut: Rental Cost 0 scenario cost: 83161.557282241541543044149875640869140625 Optimization Status: 2 scenario cost: 83161.557282241541543044149875640869140625 optimization time for scenario: 80 = 0.0606849193572998046875 scenario cost: 100003.83287163355271331965923309326171875 Optimization Status: 2 scenario cost: 100003.83287163355271331965923309326171875 optimization time for scenario: 81 = 0.06083583831787109375 scenario cost: 79069.974160886093159206211566925048828125 Optimization Status: 2 scenario cost: 79069.974160886093159206211566925048828125 optimization time for scenario: 82 = 0.0563089847564697265625 scenario cost: 91982.611930886036134324967861175537109375 Optimization Status: 2 scenario cost: 91982.611930886036134324967861175537109375 optimization time for scenario: 83 = 0.061028003692626953125 scenario cost: 83439.51193362372578121721744537353515625 Optimization Status: 2 scenario cost: 83439.51193362372578121721744537353515625 optimization time for scenario: 84 = 0.06455707550048828125 scenario cost: 89133.1971729386714287102222442626953125 Optimization Status: 2 scenario cost: 89133.1971729386714287102222442626953125 optimization time for scenario: 85 = 0.1072309017181396484375 scenario cost: 96958.363974430350936017930507659912109375 Optimization Status: 2 scenario cost: 96958.363974430350936017930507659912109375 optimization time for scenario: 86 = 0.1172311305999755859375 scenario cost: 82032.1152329750475473701953887939453125 Optimization Status: 2 scenario cost: 82032.1152329750475473701953887939453125 optimization time for scenario: 87 = 0.076076030731201171875 scenario cost: 79674.763192499885917641222476959228515625 Optimization Status: 2 scenario cost: 79674.763192499885917641222476959228515625 optimization time for scenario: 88 = 0.0586349964141845703125 scenario cost: 80437.623932671733200550079345703125 Optimization Status: 2 scenario cost: 80437.623932671733200550079345703125 optimization time for scenario: 89 = 0.063783168792724609375 scenario cost: 89993.6923591124941594898700714111328125 Optimization Status: 2 scenario cost: 89993.6923591124941594898700714111328125 optimization time for scenario: 90 = 0.0616300106048583984375 scenario cost: 87989.532526167415198870003223419189453125 Optimization Status: 2 scenario cost: 87989.532526167415198870003223419189453125 optimization time for scenario: 91 = 0.05832195281982421875 scenario cost: 86283.696405608134227804839611053466796875 Optimization Status: 2 scenario cost: 86283.696405608134227804839611053466796875 optimization time for scenario: 92 = 0.0815088748931884765625 scenario cost: 102796.742721722912392579019069671630859375 Optimization Status: 2 scenario cost: 102796.742721722912392579019069671630859375 optimization time for scenario: 93 = 0.117846012115478515625 scenario cost: 91520.6385144469677470624446868896484375 Optimization Status: 2 scenario cost: 91520.6385144469677470624446868896484375 optimization time for scenario: 94 = 0.116631984710693359375