Memory usage before loading model = 101157768 Stage2Solver_5 is now getting to Work received node: gen cut: Rental Cost 0 scenario cost: 108588.363400851565529592335224151611328125 Optimization Status: 2 scenario cost: 108588.363400851565529592335224151611328125 optimization time for scenario: 0 = 0.02423000335693359375 scenario cost: 117748.22963168766000308096408843994140625 Optimization Status: 2 scenario cost: 117748.22963168766000308096408843994140625 optimization time for scenario: 1 = 0.0196340084075927734375 scenario cost: 147078.92017042354564182460308074951171875 Optimization Status: 2 scenario cost: 147078.92017042354564182460308074951171875 optimization time for scenario: 2 = 0.03361606597900390625 scenario cost: 129572.5545464743045158684253692626953125 Optimization Status: 2 scenario cost: 129572.5545464743045158684253692626953125 optimization time for scenario: 3 = 0.03606510162353515625 scenario cost: 130291.307534009785740636289119720458984375 Optimization Status: 2 scenario cost: 130291.307534009785740636289119720458984375 optimization time for scenario: 4 = 0.0479500293731689453125 scenario cost: 182484.53251315010129474103450775146484375 Optimization Status: 2 scenario cost: 182484.53251315010129474103450775146484375 optimization time for scenario: 5 = 0.048494815826416015625 scenario cost: 115254.1063187249819748103618621826171875 Optimization Status: 2 scenario cost: 115254.1063187249819748103618621826171875 optimization time for scenario: 6 = 0.0529439449310302734375 scenario cost: 117014.1518236897536553442478179931640625 Optimization Status: 2 scenario cost: 117014.1518236897536553442478179931640625 optimization time for scenario: 7 = 0.041863918304443359375 scenario cost: 110702.82142975655733607709407806396484375 Optimization Status: 2 scenario cost: 110702.82142975655733607709407806396484375 optimization time for scenario: 8 = 0.04918384552001953125 scenario cost: 145758.1683536157943308353424072265625 Optimization Status: 2 scenario cost: 145758.1683536157943308353424072265625 optimization time for scenario: 9 = 0.04010009765625 scenario cost: 118707.625166632424225099384784698486328125 Optimization Status: 2 scenario cost: 118707.625166632424225099384784698486328125 optimization time for scenario: 10 = 0.0464189052581787109375 scenario cost: 101696.943220642278902232646942138671875 Optimization Status: 2 scenario cost: 101696.943220642278902232646942138671875 optimization time for scenario: 11 = 0.0417768955230712890625 scenario cost: 173473.2072856043814681470394134521484375 Optimization Status: 2 scenario cost: 173473.2072856043814681470394134521484375 optimization time for scenario: 12 = 0.022830963134765625 scenario cost: 136368.9687527289497666060924530029296875 Optimization Status: 2 scenario cost: 136368.9687527289497666060924530029296875 optimization time for scenario: 13 = 0.0251419544219970703125 scenario cost: 120480.557566163959563709795475006103515625 Optimization Status: 2 scenario cost: 120480.557566163959563709795475006103515625 optimization time for scenario: 14 = 0.027369022369384765625 scenario cost: 158163.73878211341798305511474609375 Optimization Status: 2 scenario cost: 158163.73878211341798305511474609375 optimization time for scenario: 15 = 0.03028392791748046875 scenario cost: 160627.23100150565733201801776885986328125 Optimization Status: 2 scenario cost: 160627.23100150565733201801776885986328125 optimization time for scenario: 16 = 0.0238578319549560546875 scenario cost: 137380.00188310709199868142604827880859375 Optimization Status: 2 scenario cost: 137380.00188310709199868142604827880859375 optimization time for scenario: 17 = 0.0236370563507080078125 scenario cost: 153967.42102961218915879726409912109375 Optimization Status: 2 scenario cost: 153967.42102961218915879726409912109375 optimization time for scenario: 18 = 0.021461009979248046875 scenario cost: 118455.66761404348653741180896759033203125 Optimization Status: 2 scenario cost: 118455.66761404348653741180896759033203125 optimization time for scenario: 19 = 0.021356105804443359375 Sending cuts of back to the stg 1 solver Objective Value 22365.03152305387993692420423030853271484375 memory usage: 112178760 received node: gen cut: Rental Cost 0 scenario cost: 103243.32981074726558290421962738037109375 Optimization Status: 2 scenario cost: 103243.32981074726558290421962738037109375 optimization time for scenario: 0 = 0.051373004913330078125 scenario cost: 112403.196041583330952562391757965087890625 Optimization Status: 2 scenario cost: 112403.196041583330952562391757965087890625 optimization time for scenario: 1 = 0.0546448230743408203125 scenario cost: 121291.382459422689862549304962158203125 Optimization Status: 2 scenario cost: 121291.382459422689862549304962158203125 optimization time for scenario: 2 = 0.0410320758819580078125 scenario cost: 118650.42739029348012991249561309814453125 Optimization Status: 2 scenario cost: 118650.42739029348012991249561309814453125 optimization time for scenario: 3 = 0.054875850677490234375 scenario cost: 121110.813190211061737500131130218505859375 Optimization Status: 2 scenario cost: 121110.813190211061737500131130218505859375 optimization time for scenario: 4 = 0.041473865509033203125 scenario cost: 148837.21198994238511659204959869384765625 Optimization Status: 2 scenario cost: 148837.21198994238511659204959869384765625 optimization time for scenario: 5 = 0.0437679290771484375 scenario cost: 109909.072728610437479801476001739501953125 Optimization Status: 2 scenario cost: 109909.072728610437479801476001739501953125 optimization time for scenario: 6 = 0.0428230762481689453125 scenario cost: 111669.118233581422828137874603271484375 Optimization Status: 2 scenario cost: 111669.118233581422828137874603271484375 optimization time for scenario: 7 = 0.054008007049560546875 scenario cost: 105357.78783965224283747375011444091796875 Optimization Status: 2 scenario cost: 105357.78783965224283747375011444091796875 optimization time for scenario: 8 = 0.0461509227752685546875 scenario cost: 125807.57610199510236270725727081298828125 Optimization Status: 2 scenario cost: 125807.57610199510236270725727081298828125 optimization time for scenario: 9 = 0.04551601409912109375 scenario cost: 113362.591576518447254784405231475830078125 Optimization Status: 2 scenario cost: 113362.591576518447254784405231475830078125 optimization time for scenario: 10 = 0.041471004486083984375 scenario cost: 96351.90963053397717885673046112060546875 Optimization Status: 2 scenario cost: 96351.90963053397717885673046112060546875 optimization time for scenario: 11 = 0.04593181610107421875 scenario cost: 132508.82454252275056205689907073974609375 Optimization Status: 2 scenario cost: 132508.82454252275056205689907073974609375 optimization time for scenario: 12 = 0.0355479717254638671875 scenario cost: 119150.81877829876611940562725067138671875 Optimization Status: 2 scenario cost: 119150.81877829876611940562725067138671875 optimization time for scenario: 13 = 0.022758007049560546875 scenario cost: 115135.523976059645065106451511383056640625 Optimization Status: 2 scenario cost: 115135.523976059645065106451511383056640625 optimization time for scenario: 14 = 0.02320003509521484375 scenario cost: 130019.102739368172478862106800079345703125 Optimization Status: 2 scenario cost: 130019.102739368172478862106800079345703125 optimization time for scenario: 15 = 0.0142090320587158203125 scenario cost: 122012.581553703159443102777004241943359375 Optimization Status: 2 scenario cost: 122012.581553703159443102777004241943359375 optimization time for scenario: 16 = 0.0138008594512939453125 scenario cost: 114912.824178633993142284452915191650390625 Optimization Status: 2 scenario cost: 114912.824178633993142284452915191650390625 optimization time for scenario: 17 = 0.013206005096435546875 scenario cost: 130505.2648964633117429912090301513671875 Optimization Status: 2 scenario cost: 130505.2648964633117429912090301513671875 optimization time for scenario: 18 = 0.0122249126434326171875 scenario cost: 113110.6340239294804632663726806640625 Optimization Status: 2 scenario cost: 113110.6340239294804632663726806640625 optimization time for scenario: 19 = 0.011373996734619140625 Sending cuts of back to the stg 1 solver Objective Value 19711.1710856842037173919379711151123046875 memory usage: 112180184 received node: gen cut: Rental Cost 0 scenario cost: 133289.7024592006928287446498870849609375 Optimization Status: 2 scenario cost: 133289.7024592006928287446498870849609375 optimization time for scenario: 100 = 0.0235040187835693359375 scenario cost: 133119.0399173800251446664333343505859375 Optimization Status: 2 scenario cost: 133119.0399173800251446664333343505859375 optimization time for scenario: 101 = 0.0235350131988525390625 scenario cost: 102484.437172723817639052867889404296875 Optimization Status: 2 scenario cost: 102484.437172723817639052867889404296875 optimization time for scenario: 102 = 0.0235469341278076171875 scenario cost: 109553.562668141050380654633045196533203125 Optimization Status: 2 scenario cost: 109553.562668141050380654633045196533203125 optimization time for scenario: 103 = 0.0257279872894287109375 scenario cost: 104451.048505877537536434829235076904296875 Optimization Status: 2 scenario cost: 104451.048505877537536434829235076904296875 optimization time for scenario: 104 = 0.0240170955657958984375 scenario cost: 119458.571871594365802593529224395751953125 Optimization Status: 2 scenario cost: 119458.571871594365802593529224395751953125 optimization time for scenario: 105 = 0.0432269573211669921875 scenario cost: 99704.36732708729687146842479705810546875 Optimization Status: 2 scenario cost: 99704.36732708729687146842479705810546875 optimization time for scenario: 106 = 0.059504985809326171875 scenario cost: 115680.088609846527106128633022308349609375 Optimization Status: 2 scenario cost: 115680.088609846527106128633022308349609375 optimization time for scenario: 107 = 0.051328182220458984375 scenario cost: 125984.90951086036511696875095367431640625 Optimization Status: 2 scenario cost: 125984.90951086036511696875095367431640625 optimization time for scenario: 108 = 0.0534169673919677734375 scenario cost: 112623.10768725446541793644428253173828125 Optimization Status: 2 scenario cost: 112623.10768725446541793644428253173828125 optimization time for scenario: 109 = 0.058177947998046875 scenario cost: 109848.53002386118168942630290985107421875 Optimization Status: 2 scenario cost: 109848.53002386118168942630290985107421875 optimization time for scenario: 110 = 0.0584700107574462890625 scenario cost: 110655.685617178329266607761383056640625 Optimization Status: 2 scenario cost: 110655.685617178329266607761383056640625 optimization time for scenario: 111 = 0.0425860881805419921875 scenario cost: 105097.24695171686471439898014068603515625 Optimization Status: 2 scenario cost: 105097.24695171686471439898014068603515625 optimization time for scenario: 112 = 0.0581531524658203125 scenario cost: 118100.9816801468259654939174652099609375 Optimization Status: 2 scenario cost: 118100.9816801468259654939174652099609375 optimization time for scenario: 113 = 0.02523517608642578125 scenario cost: 102034.39813399975537322461605072021484375 Optimization Status: 2 scenario cost: 102034.39813399975537322461605072021484375 optimization time for scenario: 114 = 0.0248939990997314453125 scenario cost: 108328.127213455736637115478515625 Optimization Status: 2 scenario cost: 108328.127213455736637115478515625 optimization time for scenario: 115 = 0.0252220630645751953125 scenario cost: 111596.25291020071017555892467498779296875 Optimization Status: 2 scenario cost: 111596.25291020071017555892467498779296875 optimization time for scenario: 116 = 0.0245230197906494140625 scenario cost: 108467.070431647342047654092311859130859375 Optimization Status: 2 scenario cost: 108467.070431647342047654092311859130859375 optimization time for scenario: 117 = 0.024612903594970703125 scenario cost: 106634.422644513644627295434474945068359375 Optimization Status: 2 scenario cost: 106634.422644513644627295434474945068359375 optimization time for scenario: 118 = 0.0242640972137451171875 scenario cost: 106437.250742637203074991703033447265625 Optimization Status: 2 scenario cost: 106437.250742637203074991703033447265625 optimization time for scenario: 119 = 0.0236461162567138671875 Sending cuts of back to the stg 1 solver Objective Value 18696.16523236762805026955902576446533203125 memory usage: 112181704 received node: gen cut: Rental Cost 0 scenario cost: 94180.07111476533464156091213226318359375 Optimization Status: 2 scenario cost: 94180.07111476533464156091213226318359375 optimization time for scenario: 0 = 0.0259921550750732421875 scenario cost: 101974.310945770484977401793003082275390625 Optimization Status: 2 scenario cost: 101974.310945770484977401793003082275390625 optimization time for scenario: 1 = 0.0253460407257080078125 scenario cost: 106241.325212340219877660274505615234375 Optimization Status: 2 scenario cost: 106241.325212340219877660274505615234375 optimization time for scenario: 2 = 0.0254619121551513671875 scenario cost: 106753.05801454550237394869327545166015625 Optimization Status: 2 scenario cost: 106753.05801454550237394869327545166015625 optimization time for scenario: 3 = 0.02532100677490234375 scenario cost: 112843.57005910322186537086963653564453125 Optimization Status: 2 scenario cost: 112843.57005910322186537086963653564453125 optimization time for scenario: 4 = 0.0257070064544677734375 scenario cost: 116832.584273944594315253198146820068359375 Optimization Status: 2 scenario cost: 116832.584273944594315253198146820068359375 optimization time for scenario: 5 = 0.02690792083740234375 scenario cost: 102690.1859467676840722560882568359375 Optimization Status: 2 scenario cost: 102690.1859467676840722560882568359375 optimization time for scenario: 6 = 0.025333881378173828125 scenario cost: 103021.671929011543397791683673858642578125 Optimization Status: 2 scenario cost: 103021.671929011543397791683673858642578125 optimization time for scenario: 7 = 0.02600193023681640625 scenario cost: 95406.5011859833612106740474700927734375 Optimization Status: 2 scenario cost: 95406.5011859833612106740474700927734375 optimization time for scenario: 8 = 0.0253570079803466796875 scenario cost: 114149.34905170564888976514339447021484375 Optimization Status: 2 scenario cost: 114149.34905170564888976514339447021484375 optimization time for scenario: 9 = 0.0251820087432861328125 scenario cost: 103862.396219540722086094319820404052734375 Optimization Status: 2 scenario cost: 103862.396219540722086094319820404052734375 optimization time for scenario: 10 = 0.0254890918731689453125 scenario cost: 87835.9106952868751250207424163818359375 Optimization Status: 2 scenario cost: 87835.9106952868751250207424163818359375 optimization time for scenario: 11 = 0.0264909267425537109375 scenario cost: 109473.027404083622968755662441253662109375 Optimization Status: 2 scenario cost: 109473.027404083622968755662441253662109375 optimization time for scenario: 12 = 0.0259029865264892578125 scenario cost: 105688.0636588244815357029438018798828125 Optimization Status: 2 scenario cost: 105688.0636588244815357029438018798828125 optimization time for scenario: 13 = 0.0270869731903076171875 scenario cost: 103483.692067266631056554615497589111328125 Optimization Status: 2 scenario cost: 103483.692067266631056554615497589111328125 optimization time for scenario: 14 = 0.0252420902252197265625 scenario cost: 117700.918626916725770570337772369384765625 Optimization Status: 2 scenario cost: 117700.918626916725770570337772369384765625 optimization time for scenario: 15 = 0.0262000560760498046875 scenario cost: 102872.814562863670289516448974609375 Optimization Status: 2 scenario cost: 102872.814562863670289516448974609375 optimization time for scenario: 16 = 0.02684688568115234375 scenario cost: 99321.36078803971759043633937835693359375 Optimization Status: 2 scenario cost: 99321.36078803971759043633937835693359375 optimization time for scenario: 17 = 0.026789188385009765625 scenario cost: 119086.5802927911863662302494049072265625 Optimization Status: 2 scenario cost: 119086.5802927911863662302494049072265625 optimization time for scenario: 18 = 0.04236602783203125 scenario cost: 104461.11232949487748555839061737060546875 Optimization Status: 2 scenario cost: 104461.11232949487748555839061737060546875 optimization time for scenario: 19 = 0.0463621616363525390625 Sending cuts of back to the stg 1 solver Objective Value 17565.5839405419028480537235736846923828125 memory usage: 112183224 received node: gen cut: Rental Cost 0 scenario cost: 134040.90215341639122925698757171630859375 Optimization Status: 2 scenario cost: 134040.90215341639122925698757171630859375 optimization time for scenario: 60 = 0.0666930675506591796875 scenario cost: 103242.390682768789702095091342926025390625 Optimization Status: 2 scenario cost: 103242.390682768789702095091342926025390625 optimization time for scenario: 61 = 0.0918638706207275390625 scenario cost: 104039.80343741262913681566715240478515625 Optimization Status: 2 scenario cost: 104039.80343741262913681566715240478515625 optimization time for scenario: 62 = 0.0526239871978759765625 scenario cost: 104460.382368877457338385283946990966796875 Optimization Status: 2 scenario cost: 104460.382368877457338385283946990966796875 optimization time for scenario: 63 = 0.0508081912994384765625 scenario cost: 119689.3535634246072731912136077880859375 Optimization Status: 2 scenario cost: 119689.3535634246072731912136077880859375 optimization time for scenario: 64 = 0.052236080169677734375 scenario cost: 122998.512710961440461687743663787841796875 Optimization Status: 2 scenario cost: 122998.512710961440461687743663787841796875 optimization time for scenario: 65 = 0.0513069629669189453125 scenario cost: 115480.5012656091130338609218597412109375 Optimization Status: 2 scenario cost: 115480.5012656091130338609218597412109375 optimization time for scenario: 66 = 0.0464818477630615234375 scenario cost: 107598.91189976371242664754390716552734375 Optimization Status: 2 scenario cost: 107598.91189976371242664754390716552734375 optimization time for scenario: 67 = 0.0478780269622802734375 scenario cost: 104420.859937736342544667422771453857421875 Optimization Status: 2 scenario cost: 104420.859937736342544667422771453857421875 optimization time for scenario: 68 = 0.057796001434326171875 scenario cost: 109528.369058755473815836012363433837890625 Optimization Status: 2 scenario cost: 109528.369058755473815836012363433837890625 optimization time for scenario: 69 = 0.040527820587158203125 scenario cost: 99117.618293065592297352850437164306640625 Optimization Status: 2 scenario cost: 99117.618293065592297352850437164306640625 optimization time for scenario: 70 = 0.0265738964080810546875 scenario cost: 126813.136264943168498575687408447265625 Optimization Status: 2 scenario cost: 126813.136264943168498575687408447265625 optimization time for scenario: 71 = 0.0269329547882080078125 scenario cost: 117930.14755493798293173313140869140625 Optimization Status: 2 scenario cost: 117930.14755493798293173313140869140625 optimization time for scenario: 72 = 0.02795696258544921875 scenario cost: 119983.278244827830349095165729522705078125 Optimization Status: 2 scenario cost: 119983.278244827830349095165729522705078125 optimization time for scenario: 73 = 0.02688503265380859375 scenario cost: 105254.073833547343383543193340301513671875 Optimization Status: 2 scenario cost: 105254.073833547343383543193340301513671875 optimization time for scenario: 74 = 0.0258729457855224609375 scenario cost: 124747.6929540773271583020687103271484375 Optimization Status: 2 scenario cost: 124747.6929540773271583020687103271484375 optimization time for scenario: 75 = 0.0268990993499755859375 scenario cost: 111265.677939344124752096831798553466796875 Optimization Status: 2 scenario cost: 111265.677939344124752096831798553466796875 optimization time for scenario: 76 = 0.0257589817047119140625 scenario cost: 114360.9382362621836364269256591796875 Optimization Status: 2 scenario cost: 114360.9382362621836364269256591796875 optimization time for scenario: 77 = 0.025104999542236328125 scenario cost: 110799.751545895400340668857097625732421875 Optimization Status: 2 scenario cost: 110799.751545895400340668857097625732421875 optimization time for scenario: 78 = 0.025228023529052734375 scenario cost: 109309.7591176568530499935150146484375 Optimization Status: 2 scenario cost: 109309.7591176568530499935150146484375 optimization time for scenario: 79 = 0.0258800983428955078125 Sending cuts of back to the stg 1 solver Objective Value 18875.60833945865670102648437023162841796875 memory usage: 112184744 received node: gen cut: Rental Cost 0 scenario cost: 98686.02232631409424357116222381591796875 Optimization Status: 2 scenario cost: 98686.02232631409424357116222381591796875 optimization time for scenario: 40 = 0.0547580718994140625 scenario cost: 115364.49166161011089570820331573486328125 Optimization Status: 2 scenario cost: 115364.49166161011089570820331573486328125 optimization time for scenario: 41 = 0.0311138629913330078125 scenario cost: 103240.094868203348596580326557159423828125 Optimization Status: 2 scenario cost: 103240.094868203348596580326557159423828125 optimization time for scenario: 42 = 0.03032779693603515625 scenario cost: 95804.9274437741260044276714324951171875 Optimization Status: 2 scenario cost: 95804.9274437741260044276714324951171875 optimization time for scenario: 43 = 0.0284130573272705078125 scenario cost: 121234.76264209047076292335987091064453125 Optimization Status: 2 scenario cost: 121234.76264209047076292335987091064453125 optimization time for scenario: 44 = 0.0296609401702880859375 scenario cost: 100598.0739381262683309614658355712890625 Optimization Status: 2 scenario cost: 100598.0739381262683309614658355712890625 optimization time for scenario: 45 = 0.0303800106048583984375 scenario cost: 103688.977958682356984354555606842041015625 Optimization Status: 2 scenario cost: 103688.977958682356984354555606842041015625 optimization time for scenario: 46 = 0.030106067657470703125 scenario cost: 116078.286964092389098368585109710693359375 Optimization Status: 2 scenario cost: 116078.286964092389098368585109710693359375 optimization time for scenario: 47 = 0.02898693084716796875 scenario cost: 109099.9498848369694314897060394287109375 Optimization Status: 2 scenario cost: 109099.9498848369694314897060394287109375 optimization time for scenario: 48 = 0.03084278106689453125 scenario cost: 102904.8185770200216211378574371337890625 Optimization Status: 2 scenario cost: 102904.8185770200216211378574371337890625 optimization time for scenario: 49 = 0.0290858745574951171875 scenario cost: 90911.81962706570629961788654327392578125 Optimization Status: 2 scenario cost: 90911.81962706570629961788654327392578125 optimization time for scenario: 50 = 0.0297291278839111328125 scenario cost: 131229.01803717008442617952823638916015625 Optimization Status: 2 scenario cost: 131229.01803717008442617952823638916015625 optimization time for scenario: 51 = 0.0299599170684814453125 scenario cost: 95487.104758256507921032607555389404296875 Optimization Status: 2 scenario cost: 95487.104758256507921032607555389404296875 optimization time for scenario: 52 = 0.0306460857391357421875 scenario cost: 92132.94049507877207361161708831787109375 Optimization Status: 2 scenario cost: 92132.94049507877207361161708831787109375 optimization time for scenario: 53 = 0.02837085723876953125 scenario cost: 90734.06891282615833915770053863525390625 Optimization Status: 2 scenario cost: 90734.06891282615833915770053863525390625 optimization time for scenario: 54 = 0.0287959575653076171875 scenario cost: 96593.871331517628277651965618133544921875 Optimization Status: 2 scenario cost: 96593.871331517628277651965618133544921875 optimization time for scenario: 55 = 0.0277020931243896484375 scenario cost: 100132.627418198928353376686573028564453125 Optimization Status: 2 scenario cost: 100132.627418198928353376686573028564453125 optimization time for scenario: 56 = 0.031034946441650390625 scenario cost: 106032.793247189911198802292346954345703125 Optimization Status: 2 scenario cost: 106032.793247189911198802292346954345703125 optimization time for scenario: 57 = 0.0284531116485595703125 scenario cost: 105337.3436836741748265922069549560546875 Optimization Status: 2 scenario cost: 105337.3436836741748265922069549560546875 optimization time for scenario: 58 = 0.0419788360595703125 scenario cost: 112484.569987548675271682441234588623046875 Optimization Status: 2 scenario cost: 112484.569987548675271682441234588623046875 optimization time for scenario: 59 = 0.064673900604248046875 Sending cuts of back to the stg 1 solver Objective Value 17398.06843880851738504134118556976318359375 memory usage: 112186264 received node: gen cut: Rental Cost 0 scenario cost: 99715.821477967299870215356349945068359375 Optimization Status: 2 scenario cost: 99715.821477967299870215356349945068359375 optimization time for scenario: 60 = 0.028683185577392578125 scenario cost: 82271.5818408330087549984455108642578125 Optimization Status: 2 scenario cost: 82271.5818408330087549984455108642578125 optimization time for scenario: 61 = 0.030868053436279296875 scenario cost: 85284.4356981623568572103977203369140625 Optimization Status: 2 scenario cost: 85284.4356981623568572103977203369140625 optimization time for scenario: 62 = 0.029466152191162109375 scenario cost: 85919.08096121382550336420536041259765625 Optimization Status: 2 scenario cost: 85919.08096121382550336420536041259765625 optimization time for scenario: 63 = 0.0294449329376220703125 scenario cost: 100070.60018685067188926041126251220703125 Optimization Status: 2 scenario cost: 100070.60018685067188926041126251220703125 optimization time for scenario: 64 = 0.0296480655670166015625 scenario cost: 100389.402400490027503110468387603759765625 Optimization Status: 2 scenario cost: 100389.402400490027503110468387603759765625 optimization time for scenario: 65 = 0.05375194549560546875 scenario cost: 92171.129135791226872242987155914306640625 Optimization Status: 2 scenario cost: 92171.129135791226872242987155914306640625 optimization time for scenario: 66 = 0.0524389743804931640625 scenario cost: 85527.044812771215219981968402862548828125 Optimization Status: 2 scenario cost: 85527.044812771215219981968402862548828125 optimization time for scenario: 67 = 0.0534861087799072265625 scenario cost: 87010.9148750850581564009189605712890625 Optimization Status: 2 scenario cost: 87010.9148750850581564009189605712890625 optimization time for scenario: 68 = 0.06538105010986328125 scenario cost: 89508.095470750602544285356998443603515625 Optimization Status: 2 scenario cost: 89508.095470750602544285356998443603515625 optimization time for scenario: 69 = 0.054111957550048828125 scenario cost: 82629.715157069658744148910045623779296875 Optimization Status: 2 scenario cost: 82629.715157069658744148910045623779296875 optimization time for scenario: 70 = 0.06309795379638671875 scenario cost: 103902.0141786939348094165325164794921875 Optimization Status: 2 scenario cost: 103902.0141786939348094165325164794921875 optimization time for scenario: 71 = 0.0529940128326416015625 scenario cost: 100136.202579164368216879665851593017578125 Optimization Status: 2 scenario cost: 100136.202579164368216879665851593017578125 optimization time for scenario: 72 = 0.0734870433807373046875 scenario cost: 99840.660999638217617757618427276611328125 Optimization Status: 2 scenario cost: 99840.660999638217617757618427276611328125 optimization time for scenario: 73 = 0.0461380481719970703125 scenario cost: 87227.007419008776196278631687164306640625 Optimization Status: 2 scenario cost: 87227.007419008776196278631687164306640625 optimization time for scenario: 74 = 0.062880992889404296875 scenario cost: 101966.453175733084208332002162933349609375 Optimization Status: 2 scenario cost: 101966.453175733084208332002162933349609375 optimization time for scenario: 75 = 0.045692920684814453125 scenario cost: 91794.274845346502843312919139862060546875 Optimization Status: 2 scenario cost: 91794.274845346502843312919139862060546875 optimization time for scenario: 76 = 0.0308840274810791015625 scenario cost: 93672.704415089960093609988689422607421875 Optimization Status: 2 scenario cost: 93672.704415089960093609988689422607421875 optimization time for scenario: 77 = 0.0318000316619873046875 scenario cost: 89509.90601079774205572903156280517578125 Optimization Status: 2 scenario cost: 89509.90601079774205572903156280517578125 optimization time for scenario: 78 = 0.0263221263885498046875 scenario cost: 87022.00111776017001830041408538818359375 Optimization Status: 2 scenario cost: 87022.00111776017001830041408538818359375 optimization time for scenario: 79 = 0.01778316497802734375 Sending cuts of back to the stg 1 solver Objective Value 15379.68053735025387140922248363494873046875 memory usage: 112187784 received node: gen cut: Rental Cost 0 scenario cost: 102567.610793939020368270576000213623046875 Optimization Status: 2 scenario cost: 102567.610793939020368270576000213623046875 optimization time for scenario: 20 = 0.0920951366424560546875 scenario cost: 91865.990999052199185825884342193603515625 Optimization Status: 2 scenario cost: 91865.990999052199185825884342193603515625 optimization time for scenario: 21 = 0.08220005035400390625 scenario cost: 90549.966697780750109814107418060302734375 Optimization Status: 2 scenario cost: 90549.966697780750109814107418060302734375 optimization time for scenario: 22 = 0.08145999908447265625 scenario cost: 96022.9515692892600782215595245361328125 Optimization Status: 2 scenario cost: 96022.9515692892600782215595245361328125 optimization time for scenario: 23 = 0.07948398590087890625 scenario cost: 81927.0070341043756343424320220947265625 Optimization Status: 2 scenario cost: 81927.0070341043756343424320220947265625 optimization time for scenario: 24 = 0.076445102691650390625 scenario cost: 103725.78605760770733468234539031982421875 Optimization Status: 2 scenario cost: 103725.78605760770733468234539031982421875 optimization time for scenario: 25 = 0.064982891082763671875 scenario cost: 89043.162627687983331270515918731689453125 Optimization Status: 2 scenario cost: 89043.162627687983331270515918731689453125 optimization time for scenario: 26 = 0.036614894866943359375 scenario cost: 102753.188292435501352883875370025634765625 Optimization Status: 2 scenario cost: 102753.188292435501352883875370025634765625 optimization time for scenario: 27 = 0.0376780033111572265625 scenario cost: 109523.509213969067786820232868194580078125 Optimization Status: 2 scenario cost: 109523.509213969067786820232868194580078125 optimization time for scenario: 28 = 0.035724163055419921875 scenario cost: 105116.1047945279278792440891265869140625 Optimization Status: 2 scenario cost: 105116.1047945279278792440891265869140625 optimization time for scenario: 29 = 0.0367929935455322265625 scenario cost: 174575.37752693574293516576290130615234375 Optimization Status: 2 scenario cost: 174575.37752693574293516576290130615234375 optimization time for scenario: 30 = 0.0355350971221923828125 scenario cost: 117952.67589108008542098104953765869140625 Optimization Status: 2 scenario cost: 117952.67589108008542098104953765869140625 optimization time for scenario: 31 = 0.0353610515594482421875 scenario cost: 150685.40588110298267565667629241943359375 Optimization Status: 2 scenario cost: 150685.40588110298267565667629241943359375 optimization time for scenario: 32 = 0.0341889858245849609375 scenario cost: 112331.136860621292726136744022369384765625 Optimization Status: 2 scenario cost: 112331.136860621292726136744022369384765625 optimization time for scenario: 33 = 0.0355379581451416015625 scenario cost: 154018.1048010013182647526264190673828125 Optimization Status: 2 scenario cost: 154018.1048010013182647526264190673828125 optimization time for scenario: 34 = 0.0347030162811279296875 scenario cost: 116358.656450089809368364512920379638671875 Optimization Status: 2 scenario cost: 116358.656450089809368364512920379638671875 optimization time for scenario: 35 = 0.0348889827728271484375 scenario cost: 91807.485345737528405152261257171630859375 Optimization Status: 2 scenario cost: 91807.485345737528405152261257171630859375 optimization time for scenario: 36 = 0.03462505340576171875 scenario cost: 106899.476360605112859047949314117431640625 Optimization Status: 2 scenario cost: 106899.476360605112859047949314117431640625 optimization time for scenario: 37 = 0.03374004364013671875 scenario cost: 119384.82768358240718953311443328857421875 Optimization Status: 2 scenario cost: 119384.82768358240718953311443328857421875 optimization time for scenario: 38 = 0.03238201141357421875 scenario cost: 100137.5019920777413062751293182373046875 Optimization Status: 2 scenario cost: 100137.5019920777413062751293182373046875 optimization time for scenario: 39 = 0.0366489887237548828125 Sending cuts of back to the stg 1 solver Objective Value 18476.97548241266849800013005733489990234375 memory usage: 112189304 received node: gen cut: Rental Cost 0 scenario cost: 89390.799172762010130099952220916748046875 Optimization Status: 2 scenario cost: 89390.799172762010130099952220916748046875 optimization time for scenario: 80 = 0.073317050933837890625 scenario cost: 108905.01293347284081391990184783935546875 Optimization Status: 2 scenario cost: 108905.01293347284081391990184783935546875 optimization time for scenario: 81 = 0.076734066009521484375 scenario cost: 86706.976027212062035687267780303955078125 Optimization Status: 2 scenario cost: 86706.976027212062035687267780303955078125 optimization time for scenario: 82 = 0.0731189250946044921875 scenario cost: 100167.785069924415438435971736907958984375 Optimization Status: 2 scenario cost: 100167.785069924415438435971736907958984375 optimization time for scenario: 83 = 0.072722911834716796875 scenario cost: 87244.950544425824773497879505157470703125 Optimization Status: 2 scenario cost: 87244.950544425824773497879505157470703125 optimization time for scenario: 84 = 0.0859830379486083984375 scenario cost: 95717.055574542944668792188167572021484375 Optimization Status: 2 scenario cost: 95717.055574542944668792188167572021484375 optimization time for scenario: 85 = 0.0840549468994140625 scenario cost: 103786.112387917921296320855617523193359375 Optimization Status: 2 scenario cost: 103786.112387917921296320855617523193359375 optimization time for scenario: 86 = 0.0865509510040283203125 scenario cost: 88085.3176184204057790338993072509765625 Optimization Status: 2 scenario cost: 88085.3176184204057790338993072509765625 optimization time for scenario: 87 = 0.0820529460906982421875 scenario cost: 85849.21333092681015841662883758544921875 Optimization Status: 2 scenario cost: 85849.21333092681015841662883758544921875 optimization time for scenario: 88 = 0.07341289520263671875 scenario cost: 85717.178719430012279190123081207275390625 Optimization Status: 2 scenario cost: 85717.178719430012279190123081207275390625 optimization time for scenario: 89 = 0.072206974029541015625 scenario cost: 97244.98912371144979260861873626708984375 Optimization Status: 2 scenario cost: 97244.98912371144979260861873626708984375 optimization time for scenario: 90 = 0.0735118389129638671875 scenario cost: 94882.08343528982368297874927520751953125 Optimization Status: 2 scenario cost: 94882.08343528982368297874927520751953125 optimization time for scenario: 91 = 0.0781629085540771484375 scenario cost: 95336.83348956014378927648067474365234375 Optimization Status: 2 scenario cost: 95336.83348956014378927648067474365234375 optimization time for scenario: 92 = 0.0692040920257568359375 scenario cost: 110329.611872094581485725939273834228515625 Optimization Status: 2 scenario cost: 110329.611872094581485725939273834228515625 optimization time for scenario: 93 = 0.045742034912109375 scenario cost: 98594.56327097027678973972797393798828125 Optimization Status: 2 scenario cost: 98594.56327097027678973972797393798828125 optimization time for scenario: 94 = 0.0352001190185546875 scenario cost: 96412.858776880093500949442386627197265625 Optimization Status: 2 scenario cost: 96412.858776880093500949442386627197265625 optimization time for scenario: 95 = 0.0291159152984619140625 scenario cost: 89706.319695621743449009954929351806640625 Optimization Status: 2 scenario cost: 89706.319695621743449009954929351806640625 optimization time for scenario: 96 = 0.022883892059326171875 scenario cost: 96961.6495895579573698341846466064453125 Optimization Status: 2 scenario cost: 96961.6495895579573698341846466064453125 optimization time for scenario: 97 = 0.0209500789642333984375 scenario cost: 101411.96434544282965362071990966796875 Optimization Status: 2 scenario cost: 101411.96434544282965362071990966796875 optimization time for scenario: 98 = 0.0207359790802001953125 scenario cost: 102424.76602743309922516345977783203125 Optimization Status: 2 scenario cost: 102424.76602743309922516345977783203125 optimization time for scenario: 99 = 0.021419048309326171875 Sending cuts of back to the stg 1 solver Objective Value 15957.236512511941327829845249652862548828125 memory usage: 112190824 received node: gen cut: Rental Cost 0 scenario cost: 99034.98723697240347974002361297607421875 Optimization Status: 2 scenario cost: 99034.98723697240347974002361297607421875 optimization time for scenario: 100 = 0.080502033233642578125 scenario cost: 103462.457884418879984878003597259521484375 Optimization Status: 2 scenario cost: 103462.457884418879984878003597259521484375 optimization time for scenario: 101 = 0.07701587677001953125 scenario cost: 83534.544512092135846614837646484375 Optimization Status: 2 scenario cost: 83534.544512092135846614837646484375 optimization time for scenario: 102 = 0.0731661319732666015625 scenario cost: 90433.936239564020070247352123260498046875 Optimization Status: 2 scenario cost: 90433.936239564020070247352123260498046875 optimization time for scenario: 103 = 0.0843050479888916015625 scenario cost: 87024.88099056793726049363613128662109375 Optimization Status: 2 scenario cost: 87024.88099056793726049363613128662109375 optimization time for scenario: 104 = 0.0995190143585205078125 scenario cost: 97495.4492254872457124292850494384765625 Optimization Status: 2 scenario cost: 97495.4492254872457124292850494384765625 optimization time for scenario: 105 = 0.0840799808502197265625 scenario cost: 79872.560094805216067470610141754150390625 Optimization Status: 2 scenario cost: 79872.560094805216067470610141754150390625 optimization time for scenario: 106 = 0.0390589237213134765625 scenario cost: 94285.89073308734805323183536529541015625 Optimization Status: 2 scenario cost: 94285.89073308734805323183536529541015625 optimization time for scenario: 107 = 0.0374929904937744140625 scenario cost: 106939.52158101720851846039295196533203125 Optimization Status: 2 scenario cost: 106939.52158101720851846039295196533203125 optimization time for scenario: 108 = 0.03991985321044921875 scenario cost: 93646.982549625055980868637561798095703125 Optimization Status: 2 scenario cost: 93646.982549625055980868637561798095703125 optimization time for scenario: 109 = 0.03767299652099609375 scenario cost: 90453.27976500141085125505924224853515625 Optimization Status: 2 scenario cost: 90453.27976500141085125505924224853515625 optimization time for scenario: 110 = 0.038768768310546875 scenario cost: 92810.04372535590664483606815338134765625 Optimization Status: 2 scenario cost: 92810.04372535590664483606815338134765625 optimization time for scenario: 111 = 0.0384128093719482421875 scenario cost: 85674.805144591387943364679813385009765625 Optimization Status: 2 scenario cost: 85674.805144591387943364679813385009765625 optimization time for scenario: 112 = 0.040340900421142578125 scenario cost: 99021.10040754041983745992183685302734375 Optimization Status: 2 scenario cost: 99021.10040754041983745992183685302734375 optimization time for scenario: 113 = 0.0385639667510986328125 scenario cost: 83507.159594708398799411952495574951171875 Optimization Status: 2 scenario cost: 83507.159594708398799411952495574951171875 optimization time for scenario: 114 = 0.03779697418212890625 scenario cost: 86769.725243947250419296324253082275390625 Optimization Status: 2 scenario cost: 86769.725243947250419296324253082275390625 optimization time for scenario: 115 = 0.0390279293060302734375 scenario cost: 93064.70748932447168044745922088623046875 Optimization Status: 2 scenario cost: 93064.70748932447168044745922088623046875 optimization time for scenario: 116 = 0.0388829708099365234375 scenario cost: 88298.48006006490322761237621307373046875 Optimization Status: 2 scenario cost: 88298.48006006490322761237621307373046875 optimization time for scenario: 117 = 0.0378091335296630859375 scenario cost: 87508.1181250726222060620784759521484375 Optimization Status: 2 scenario cost: 87508.1181250726222060620784759521484375 optimization time for scenario: 118 = 0.0372650623321533203125 scenario cost: 85538.408764218023861758410930633544921875 Optimization Status: 2 scenario cost: 85538.408764218023861758410930633544921875 optimization time for scenario: 119 = 0.0382149219512939453125 Sending cuts of back to the stg 1 solver Objective Value 15236.41438216087408363819122314453125 memory usage: 112192344 received node: gen cut: Rental Cost 0 scenario cost: 92335.71896142084733583033084869384765625 Optimization Status: 2 scenario cost: 92335.71896142084733583033084869384765625 optimization time for scenario: 80 = 0.0719759464263916015625 scenario cost: 114791.241755227834801189601421356201171875 Optimization Status: 2 scenario cost: 114791.241755227834801189601421356201171875 optimization time for scenario: 81 = 0.0775468349456787109375 scenario cost: 90118.917208067010506056249141693115234375 Optimization Status: 2 scenario cost: 90118.917208067010506056249141693115234375 optimization time for scenario: 82 = 0.0789330005645751953125 scenario cost: 103021.851845987388514913618564605712890625 Optimization Status: 2 scenario cost: 103021.851845987388514913618564605712890625 optimization time for scenario: 83 = 0.0618331432342529296875 scenario cost: 89578.127354086216655559837818145751953125 Optimization Status: 2 scenario cost: 89578.127354086216655559837818145751953125 optimization time for scenario: 84 = 0.087615966796875 scenario cost: 99321.480165979941375553607940673828125 Optimization Status: 2 scenario cost: 99321.480165979941375553607940673828125 optimization time for scenario: 85 = 0.037536144256591796875 scenario cost: 105784.4468976944335736334323883056640625 Optimization Status: 2 scenario cost: 105784.4468976944335736334323883056640625 optimization time for scenario: 86 = 0.03839206695556640625 scenario cost: 92104.707302801791229285299777984619140625 Optimization Status: 2 scenario cost: 92104.707302801791229285299777984619140625 optimization time for scenario: 87 = 0.085034847259521484375 scenario cost: 88923.7497585316305048763751983642578125 Optimization Status: 2 scenario cost: 88923.7497585316305048763751983642578125 optimization time for scenario: 88 = 0.0824940204620361328125 scenario cost: 89337.23724055758793838322162628173828125 Optimization Status: 2 scenario cost: 89337.23724055758793838322162628173828125 optimization time for scenario: 89 = 0.08081912994384765625 scenario cost: 98083.17359590189880691468715667724609375 Optimization Status: 2 scenario cost: 98083.17359590189880691468715667724609375 optimization time for scenario: 90 = 0.07326412200927734375 scenario cost: 98775.11047195646096952259540557861328125 Optimization Status: 2 scenario cost: 98775.11047195646096952259540557861328125 optimization time for scenario: 91 = 0.0742619037628173828125 scenario cost: 98365.60801166217424906790256500244140625 Optimization Status: 2 scenario cost: 98365.60801166217424906790256500244140625 optimization time for scenario: 92 = 0.05603504180908203125 scenario cost: 114308.513880422324291430413722991943359375 Optimization Status: 2 scenario cost: 114308.513880422324291430413722991943359375 optimization time for scenario: 93 = 0.0385100841522216796875 scenario cost: 99920.2015527175390161573886871337890625 Optimization Status: 2 scenario cost: 99920.2015527175390161573886871337890625 optimization time for scenario: 94 = 0.0385711193084716796875 scenario cost: 98545.227677987073548138141632080078125 Optimization Status: 2 scenario cost: 98545.227677987073548138141632080078125 optimization time for scenario: 95 = 0.0393989086151123046875 scenario cost: 93844.677792175672948360443115234375 Optimization Status: 2 scenario cost: 93844.677792175672948360443115234375 optimization time for scenario: 96 = 0.0360691547393798828125 scenario cost: 100925.2878045781399123370647430419921875 Optimization Status: 2 scenario cost: 100925.2878045781399123370647430419921875 optimization time for scenario: 97 = 0.0394399166107177734375 scenario cost: 105528.73712634466937743127346038818359375 Optimization Status: 2 scenario cost: 105528.73712634466937743127346038818359375 optimization time for scenario: 98 = 0.035871028900146484375 scenario cost: 106673.25680101654143072664737701416015625 Optimization Status: 2 scenario cost: 106673.25680101654143072664737701416015625 optimization time for scenario: 99 = 0.024153232574462890625 Sending cuts of back to the stg 1 solver Objective Value 16502.32793380020302720367908477783203125 memory usage: 112193864 received node: gen cut: Rental Cost 0 scenario cost: 95000.051755672306171618402004241943359375 Optimization Status: 2 scenario cost: 95000.051755672306171618402004241943359375 optimization time for scenario: 20 = 0.0423629283905029296875 scenario cost: 85080.874443725260789506137371063232421875 Optimization Status: 2 scenario cost: 85080.874443725260789506137371063232421875 optimization time for scenario: 21 = 0.0679378509521484375 scenario cost: 82080.3741891617537476122379302978515625 Optimization Status: 2 scenario cost: 82080.3741891617537476122379302978515625 optimization time for scenario: 22 = 0.09290599822998046875 scenario cost: 90836.062274360898300074040889739990234375 Optimization Status: 2 scenario cost: 90836.062274360898300074040889739990234375 optimization time for scenario: 23 = 0.0770428180694580078125 scenario cost: 76266.633650479154312051832675933837890625 Optimization Status: 2 scenario cost: 76266.633650479154312051832675933837890625 optimization time for scenario: 24 = 0.0782148838043212890625 scenario cost: 94337.98144624778069555759429931640625 Optimization Status: 2 scenario cost: 94337.98144624778069555759429931640625 optimization time for scenario: 25 = 0.0799129009246826171875 scenario cost: 84852.44095294954604469239711761474609375 Optimization Status: 2 scenario cost: 84852.44095294954604469239711761474609375 optimization time for scenario: 26 = 0.041654109954833984375 scenario cost: 88994.490792380282073281705379486083984375 Optimization Status: 2 scenario cost: 88994.490792380282073281705379486083984375 optimization time for scenario: 27 = 0.0408580303192138671875 scenario cost: 99524.034520974368206225335597991943359375 Optimization Status: 2 scenario cost: 99524.034520974368206225335597991943359375 optimization time for scenario: 28 = 0.0426261425018310546875 scenario cost: 91256.144775603999732993543148040771484375 Optimization Status: 2 scenario cost: 91256.144775603999732993543148040771484375 optimization time for scenario: 29 = 0.039785861968994140625 scenario cost: 121768.091659203651943244040012359619140625 Optimization Status: 2 scenario cost: 121768.091659203651943244040012359619140625 optimization time for scenario: 30 = 0.0389080047607421875 scenario cost: 98816.58620632483507506549358367919921875 Optimization Status: 2 scenario cost: 98816.58620632483507506549358367919921875 optimization time for scenario: 31 = 0.0410940647125244140625 scenario cost: 111077.26916487552807666361331939697265625 Optimization Status: 2 scenario cost: 111077.26916487552807666361331939697265625 optimization time for scenario: 32 = 0.0393378734588623046875 scenario cost: 103026.563144428204395808279514312744140625 Optimization Status: 2 scenario cost: 103026.563144428204395808279514312744140625 optimization time for scenario: 33 = 0.0425460338592529296875 scenario cost: 106853.135205915314145386219024658203125 Optimization Status: 2 scenario cost: 106853.135205915314145386219024658203125 optimization time for scenario: 34 = 0.03868389129638671875 scenario cost: 97704.286011468488140963017940521240234375 Optimization Status: 2 scenario cost: 97704.286011468488140963017940521240234375 optimization time for scenario: 35 = 0.042418956756591796875 scenario cost: 82391.0559746203362010419368743896484375 Optimization Status: 2 scenario cost: 82391.0559746203362010419368743896484375 optimization time for scenario: 36 = 0.0411379337310791015625 scenario cost: 91578.627798651854391209781169891357421875 Optimization Status: 2 scenario cost: 91578.627798651854391209781169891357421875 optimization time for scenario: 37 = 0.0418298244476318359375 scenario cost: 101585.161919762307661585509777069091796875 Optimization Status: 2 scenario cost: 101585.161919762307661585509777069091796875 optimization time for scenario: 38 = 0.0388820171356201171875 scenario cost: 90519.041462322013103403151035308837890625 Optimization Status: 2 scenario cost: 90519.041462322013103403151035308837890625 optimization time for scenario: 39 = 0.042973041534423828125 Sending cuts of back to the stg 1 solver Objective Value 15779.51110961248559760861098766326904296875 memory usage: 112195384 received node: gen cut: Rental Cost 0 scenario cost: 97495.79988468068768270313739776611328125 Optimization Status: 2 scenario cost: 97495.79988468068768270313739776611328125 optimization time for scenario: 60 = 0.0454800128936767578125 scenario cost: 82388.402534474109415896236896514892578125 Optimization Status: 2 scenario cost: 82388.402534474109415896236896514892578125 optimization time for scenario: 61 = 0.04267597198486328125 scenario cost: 83979.678493325947783887386322021484375 Optimization Status: 2 scenario cost: 83979.678493325947783887386322021484375 optimization time for scenario: 62 = 0.0659391880035400390625 scenario cost: 85301.3201723013189621269702911376953125 Optimization Status: 2 scenario cost: 85301.3201723013189621269702911376953125 optimization time for scenario: 63 = 0.0879580974578857421875 scenario cost: 99980.185637289148871786892414093017578125 Optimization Status: 2 scenario cost: 99980.185637289148871786892414093017578125 optimization time for scenario: 64 = 0.1529829502105712890625 scenario cost: 101046.074027113951160572469234466552734375 Optimization Status: 2 scenario cost: 101046.074027113951160572469234466552734375 optimization time for scenario: 65 = 0.099421024322509765625 scenario cost: 92301.78460283926688134670257568359375 Optimization Status: 2 scenario cost: 92301.78460283926688134670257568359375 optimization time for scenario: 66 = 0.0967998504638671875 scenario cost: 84988.625974842681898735463619232177734375 Optimization Status: 2 scenario cost: 84988.625974842681898735463619232177734375 optimization time for scenario: 67 = 0.091609954833984375 scenario cost: 85395.26556635802262462675571441650390625 Optimization Status: 2 scenario cost: 85395.26556635802262462675571441650390625 optimization time for scenario: 68 = 0.088492870330810546875 scenario cost: 89692.503173025077558122575283050537109375 Optimization Status: 2 scenario cost: 89692.503173025077558122575283050537109375 optimization time for scenario: 69 = 0.0889270305633544921875 scenario cost: 83237.54664774078992195427417755126953125 Optimization Status: 2 scenario cost: 83237.54664774078992195427417755126953125 optimization time for scenario: 70 = 0.09920501708984375 scenario cost: 104436.971854180519585497677326202392578125 Optimization Status: 2 scenario cost: 104436.971854180519585497677326202392578125 optimization time for scenario: 71 = 0.0488259792327880859375 scenario cost: 98759.02337784765404649078845977783203125 Optimization Status: 2 scenario cost: 98759.02337784765404649078845977783203125 optimization time for scenario: 72 = 0.045050144195556640625 scenario cost: 100277.270156354192295111715793609619140625 Optimization Status: 2 scenario cost: 100277.270156354192295111715793609619140625 optimization time for scenario: 73 = 0.0453269481658935546875 scenario cost: 85909.267958518888917751610279083251953125 Optimization Status: 2 scenario cost: 85909.267958518888917751610279083251953125 optimization time for scenario: 74 = 0.0439269542694091796875 scenario cost: 102770.3527094126329757273197174072265625 Optimization Status: 2 scenario cost: 102770.3527094126329757273197174072265625 optimization time for scenario: 75 = 0.046411037445068359375 scenario cost: 92854.3813350462005473673343658447265625 Optimization Status: 2 scenario cost: 92854.3813350462005473673343658447265625 optimization time for scenario: 76 = 0.045124053955078125 scenario cost: 93753.840003867851919494569301605224609375 Optimization Status: 2 scenario cost: 93753.840003867851919494569301605224609375 optimization time for scenario: 77 = 0.0411808490753173828125 scenario cost: 89793.698478459744364954531192779541015625 Optimization Status: 2 scenario cost: 89793.698478459744364954531192779541015625 optimization time for scenario: 78 = 0.0303289890289306640625 scenario cost: 86898.5930581954889930784702301025390625 Optimization Status: 2 scenario cost: 86898.5930581954889930784702301025390625 optimization time for scenario: 79 = 0.0305421352386474609375 Sending cuts of back to the stg 1 solver Objective Value 15343.776838362764465273357927799224853515625 memory usage: 112196904 received node: gen cut: Rental Cost 0 scenario cost: 105159.151626432474586181342601776123046875 Optimization Status: 2 scenario cost: 105159.151626432474586181342601776123046875 optimization time for scenario: 100 = 0.1138288974761962890625 scenario cost: 110244.40658795708441175520420074462890625 Optimization Status: 2 scenario cost: 110244.40658795708441175520420074462890625 optimization time for scenario: 101 = 0.0988171100616455078125 scenario cost: 90217.700587776969769038259983062744140625 Optimization Status: 2 scenario cost: 90217.700587776969769038259983062744140625 optimization time for scenario: 102 = 0.0957920551300048828125 scenario cost: 97060.343524754091049544513225555419921875 Optimization Status: 2 scenario cost: 97060.343524754091049544513225555419921875 optimization time for scenario: 103 = 0.097447872161865234375 scenario cost: 93846.442812237030011601746082305908203125 Optimization Status: 2 scenario cost: 93846.442812237030011601746082305908203125 optimization time for scenario: 104 = 0.107803821563720703125 scenario cost: 104983.823378317130845971405506134033203125 Optimization Status: 2 scenario cost: 104983.823378317130845971405506134033203125 optimization time for scenario: 105 = 0.1001980304718017578125 scenario cost: 86413.05331970937550067901611328125 Optimization Status: 2 scenario cost: 86413.05331970937550067901611328125 optimization time for scenario: 106 = 0.1026718616485595703125 scenario cost: 100914.29730757317156530916690826416015625 Optimization Status: 2 scenario cost: 100914.29730757317156530916690826416015625 optimization time for scenario: 107 = 0.114849090576171875 scenario cost: 114159.553184076692559756338596343994140625 Optimization Status: 2 scenario cost: 114159.553184076692559756338596343994140625 optimization time for scenario: 108 = 0.0965950489044189453125 scenario cost: 100418.84814879109035246074199676513671875 Optimization Status: 2 scenario cost: 100418.84814879109035246074199676513671875 optimization time for scenario: 109 = 0.0743820667266845703125 scenario cost: 97311.40533212092122994363307952880859375 Optimization Status: 2 scenario cost: 97311.40533212092122994363307952880859375 optimization time for scenario: 110 = 0.0538890361785888671875 scenario cost: 99370.073805179461487568914890289306640625 Optimization Status: 2 scenario cost: 99370.073805179461487568914890289306640625 optimization time for scenario: 111 = 0.0578460693359375 scenario cost: 92452.202293191498029045760631561279296875 Optimization Status: 2 scenario cost: 92452.202293191498029045760631561279296875 optimization time for scenario: 112 = 0.0561950206756591796875 scenario cost: 105719.074171620610286481678485870361328125 Optimization Status: 2 scenario cost: 105719.074171620610286481678485870361328125 optimization time for scenario: 113 = 0.0573680400848388671875 scenario cost: 90084.299718072681571356952190399169921875 Optimization Status: 2 scenario cost: 90084.299718072681571356952190399169921875 optimization time for scenario: 114 = 0.0553338527679443359375 scenario cost: 93473.120091533564846031367778778076171875 Optimization Status: 2 scenario cost: 93473.120091533564846031367778778076171875 optimization time for scenario: 115 = 0.059237957000732421875 scenario cost: 100070.56449451597291044890880584716796875 Optimization Status: 2 scenario cost: 100070.56449451597291044890880584716796875 optimization time for scenario: 116 = 0.0545608997344970703125 scenario cost: 95137.21682887562201358377933502197265625 Optimization Status: 2 scenario cost: 95137.21682887562201358377933502197265625 optimization time for scenario: 117 = 0.050385951995849609375 scenario cost: 93937.295133631661883555352687835693359375 Optimization Status: 2 scenario cost: 93937.295133631661883555352687835693359375 optimization time for scenario: 118 = 0.047149181365966796875 scenario cost: 91909.0394647056818939745426177978515625 Optimization Status: 2 scenario cost: 91909.0394647056818939745426177978515625 optimization time for scenario: 119 = 0.025623798370361328125 Sending cuts of back to the stg 1 solver Objective Value 16357.28383569521247409284114837646484375 memory usage: 112198424 received node: gen cut: Rental Cost 0 scenario cost: 85086.624108365809661336243152618408203125 Optimization Status: 2 scenario cost: 85086.624108365809661336243152618408203125 optimization time for scenario: 0 = 0.0468189716339111328125 scenario cost: 92431.38222842509276233613491058349609375 Optimization Status: 2 scenario cost: 92431.38222842509276233613491058349609375 optimization time for scenario: 1 = 0.0929591655731201171875 scenario cost: 98259.675141049068770371377468109130859375 Optimization Status: 2 scenario cost: 98259.675141049068770371377468109130859375 optimization time for scenario: 2 = 0.1056210994720458984375 scenario cost: 98923.57597571914084255695343017578125 Optimization Status: 2 scenario cost: 98923.57597571914084255695343017578125 optimization time for scenario: 3 = 0.0805399417877197265625 scenario cost: 102790.61213559130555950105190277099609375 Optimization Status: 2 scenario cost: 102790.61213559130555950105190277099609375 optimization time for scenario: 4 = 0.0842788219451904296875 scenario cost: 109299.869594586765742860734462738037109375 Optimization Status: 2 scenario cost: 109299.869594586765742860734462738037109375 optimization time for scenario: 5 = 0.0866930484771728515625 scenario cost: 91920.3058011227403767406940460205078125 Optimization Status: 2 scenario cost: 91920.3058011227403767406940460205078125 optimization time for scenario: 6 = 0.0993251800537109375 scenario cost: 92650.962070380497607402503490447998046875 Optimization Status: 2 scenario cost: 92650.962070380497607402503490447998046875 optimization time for scenario: 7 = 0.097221851348876953125 scenario cost: 86731.744584315063548274338245391845703125 Optimization Status: 2 scenario cost: 86731.744584315063548274338245391845703125 optimization time for scenario: 8 = 0.0486619472503662109375 scenario cost: 106371.701174314526724629104137420654296875 Optimization Status: 2 scenario cost: 106371.701174314526724629104137420654296875 optimization time for scenario: 9 = 0.0723669528961181640625 scenario cost: 94475.481871004580170847475528717041015625 Optimization Status: 2 scenario cost: 94475.481871004580170847475528717041015625 optimization time for scenario: 10 = 0.0465438365936279296875 scenario cost: 78210.860671037124120630323886871337890625 Optimization Status: 2 scenario cost: 78210.860671037124120630323886871337890625 optimization time for scenario: 11 = 0.047321796417236328125 scenario cost: 101870.597012295460444875061511993408203125 Optimization Status: 2 scenario cost: 101870.597012295460444875061511993408203125 optimization time for scenario: 12 = 0.0420939922332763671875 scenario cost: 98004.66267962325946427881717681884765625 Optimization Status: 2 scenario cost: 98004.66267962325946427881717681884765625 optimization time for scenario: 13 = 0.0443661212921142578125 scenario cost: 92825.65254030129290185868740081787109375 Optimization Status: 2 scenario cost: 92825.65254030129290185868740081787109375 optimization time for scenario: 14 = 0.0495460033416748046875 scenario cost: 109862.746410612147883512079715728759765625 Optimization Status: 2 scenario cost: 109862.746410612147883512079715728759765625 optimization time for scenario: 15 = 0.04699993133544921875 scenario cost: 95441.524988637349451892077922821044921875 Optimization Status: 2 scenario cost: 95441.524988637349451892077922821044921875 optimization time for scenario: 16 = 0.067289829254150390625 scenario cost: 91457.934875728984479792416095733642578125 Optimization Status: 2 scenario cost: 91457.934875728984479792416095733642578125 optimization time for scenario: 17 = 0.0971529483795166015625 scenario cost: 111347.32594660730683244764804840087890625 Optimization Status: 2 scenario cost: 111347.32594660730683244764804840087890625 optimization time for scenario: 18 = 0.0684359073638916015625 scenario cost: 94949.7660525652463547885417938232421875 Optimization Status: 2 scenario cost: 94949.7660525652463547885417938232421875 optimization time for scenario: 19 = 0.0306949615478515625 Sending cuts of back to the stg 1 solver Objective Value 16107.543951752160864998586475849151611328125 memory usage: 112199944 received node: gen cut: Rental Cost 0 scenario cost: 102376.531621413028915412724018096923828125 Optimization Status: 2 scenario cost: 102376.531621413028915412724018096923828125 optimization time for scenario: 100 = 0.1042220592498779296875 scenario cost: 107176.389052474332856945693492889404296875 Optimization Status: 2 scenario cost: 107176.389052474332856945693492889404296875 optimization time for scenario: 101 = 0.0549819469451904296875 scenario cost: 86690.577835539937950670719146728515625 Optimization Status: 2 scenario cost: 86690.577835539937950670719146728515625 optimization time for scenario: 102 = 0.048079967498779296875 scenario cost: 93050.860380782498396001756191253662109375 Optimization Status: 2 scenario cost: 93050.860380782498396001756191253662109375 optimization time for scenario: 103 = 0.048365116119384765625 scenario cost: 89216.518048128913505934178829193115234375 Optimization Status: 2 scenario cost: 89216.518048128913505934178829193115234375 optimization time for scenario: 104 = 0.0462868213653564453125 scenario cost: 102444.983179669521632604300975799560546875 Optimization Status: 2 scenario cost: 102444.983179669521632604300975799560546875 optimization time for scenario: 105 = 0.0489280223846435546875 scenario cost: 82835.705222730714012868702411651611328125 Optimization Status: 2 scenario cost: 82835.705222730714012868702411651611328125 optimization time for scenario: 106 = 0.048223972320556640625 scenario cost: 97048.0800421001040376722812652587890625 Optimization Status: 2 scenario cost: 97048.0800421001040376722812652587890625 optimization time for scenario: 107 = 0.047420024871826171875 scenario cost: 110062.9647738652420230209827423095703125 Optimization Status: 2 scenario cost: 110062.9647738652420230209827423095703125 optimization time for scenario: 108 = 0.0449402332305908203125 scenario cost: 95541.258946738656959496438503265380859375 Optimization Status: 2 scenario cost: 95541.258946738656959496438503265380859375 optimization time for scenario: 109 = 0.0474741458892822265625 scenario cost: 93150.68004803874646313488483428955078125 Optimization Status: 2 scenario cost: 93150.68004803874646313488483428955078125 optimization time for scenario: 110 = 0.0550060272216796875 scenario cost: 95339.9974022228852845728397369384765625 Optimization Status: 2 scenario cost: 95339.9974022228852845728397369384765625 optimization time for scenario: 111 = 0.049294948577880859375 scenario cost: 88331.719102054354152642190456390380859375 Optimization Status: 2 scenario cost: 88331.719102054354152642190456390380859375 optimization time for scenario: 112 = 0.050549030303955078125 scenario cost: 101513.131765141311916522681713104248046875 Optimization Status: 2 scenario cost: 101513.131765141311916522681713104248046875 optimization time for scenario: 113 = 0.0488760471343994140625 scenario cost: 86000.992381262054550461471080780029296875 Optimization Status: 2 scenario cost: 86000.992381262054550461471080780029296875 optimization time for scenario: 114 = 0.0461180210113525390625 scenario cost: 89479.643281068580108694732189178466796875 Optimization Status: 2 scenario cost: 89479.643281068580108694732189178466796875 optimization time for scenario: 115 = 0.0507049560546875 scenario cost: 95979.5477122023585252463817596435546875 Optimization Status: 2 scenario cost: 95979.5477122023585252463817596435546875 optimization time for scenario: 116 = 0.0484888553619384765625 scenario cost: 91269.658009519553161226212978363037109375 Optimization Status: 2 scenario cost: 91269.658009519553161226212978363037109375 optimization time for scenario: 117 = 0.047789096832275390625 scenario cost: 90326.525806162317167036235332489013671875 Optimization Status: 2 scenario cost: 90326.525806162317167036235332489013671875 optimization time for scenario: 118 = 0.0482189655303955078125 scenario cost: 87778.825678954613977111876010894775390625 Optimization Status: 2 scenario cost: 87778.825678954613977111876010894775390625 optimization time for scenario: 119 = 0.0487921237945556640625 Sending cuts of back to the stg 1 solver Objective Value 15713.392065264239136013202369213104248046875 memory usage: 112201464 received node: gen cut: Rental Cost 0 scenario cost: 100716.996514414655393920838832855224609375 Optimization Status: 2 scenario cost: 100716.996514414655393920838832855224609375 optimization time for scenario: 60 = 0.0436761379241943359375 scenario cost: 82982.3496145911631174385547637939453125 Optimization Status: 2 scenario cost: 82982.3496145911631174385547637939453125 optimization time for scenario: 61 = 0.04629802703857421875 scenario cost: 84645.208342278885538689792156219482421875 Optimization Status: 2 scenario cost: 84645.208342278885538689792156219482421875 optimization time for scenario: 62 = 0.045404911041259765625 scenario cost: 85540.086928493066807277500629425048828125 Optimization Status: 2 scenario cost: 85540.086928493066807277500629425048828125 optimization time for scenario: 63 = 0.049912929534912109375 scenario cost: 100572.992658700168249197304248809814453125 Optimization Status: 2 scenario cost: 100572.992658700168249197304248809814453125 optimization time for scenario: 64 = 0.044971942901611328125 scenario cost: 101752.9160466580651700496673583984375 Optimization Status: 2 scenario cost: 101752.9160466580651700496673583984375 optimization time for scenario: 65 = 0.045391082763671875 scenario cost: 93168.83663148185587488114833831787109375 Optimization Status: 2 scenario cost: 93168.83663148185587488114833831787109375 optimization time for scenario: 66 = 0.04458713531494140625 scenario cost: 85875.391294284447212703526020050048828125 Optimization Status: 2 scenario cost: 85875.391294284447212703526020050048828125 optimization time for scenario: 67 = 0.04934597015380859375 scenario cost: 85856.543878516429685987532138824462890625 Optimization Status: 2 scenario cost: 85856.543878516429685987532138824462890625 optimization time for scenario: 68 = 0.0488379001617431640625 scenario cost: 90196.6247409006464295089244842529296875 Optimization Status: 2 scenario cost: 90196.6247409006464295089244842529296875 optimization time for scenario: 69 = 0.048243999481201171875 scenario cost: 81911.650139525838312692940235137939453125 Optimization Status: 2 scenario cost: 81911.650139525838312692940235137939453125 optimization time for scenario: 70 = 0.055100917816162109375 scenario cost: 105120.30223898930125869810581207275390625 Optimization Status: 2 scenario cost: 105120.30223898930125869810581207275390625 optimization time for scenario: 71 = 0.062547206878662109375 scenario cost: 99389.764024834075826220214366912841796875 Optimization Status: 2 scenario cost: 99389.764024834075826220214366912841796875 optimization time for scenario: 72 = 0.10173892974853515625 scenario cost: 99937.589033730226219631731510162353515625 Optimization Status: 2 scenario cost: 99937.589033730226219631731510162353515625 optimization time for scenario: 73 = 0.105822086334228515625 scenario cost: 86528.601543873432092368602752685546875 Optimization Status: 2 scenario cost: 86528.601543873432092368602752685546875 optimization time for scenario: 74 = 0.09084796905517578125 scenario cost: 103440.503857512070680968463420867919921875 Optimization Status: 2 scenario cost: 103440.503857512070680968463420867919921875 optimization time for scenario: 75 = 0.0943090915679931640625 scenario cost: 92162.084809146195766516029834747314453125 Optimization Status: 2 scenario cost: 92162.084809146195766516029834747314453125 optimization time for scenario: 76 = 0.1067879199981689453125 scenario cost: 94556.34811429076944477856159210205078125 Optimization Status: 2 scenario cost: 94556.34811429076944477856159210205078125 optimization time for scenario: 77 = 0.12137603759765625 scenario cost: 90417.94740936977905221283435821533203125 Optimization Status: 2 scenario cost: 90417.94740936977905221283435821533203125 optimization time for scenario: 78 = 0.0505139827728271484375 scenario cost: 87835.109335906934575177729129791259765625 Optimization Status: 2 scenario cost: 87835.109335906934575177729129791259765625 optimization time for scenario: 79 = 0.0492579936981201171875 Sending cuts of back to the stg 1 solver Objective Value 15438.33697271757773705758154392242431640625 memory usage: 112202984 received node: gen cut: Rental Cost 0 scenario cost: 87543.531689391398685984313488006591796875 Optimization Status: 2 scenario cost: 87543.531689391398685984313488006591796875 optimization time for scenario: 80 = 0.10847187042236328125 scenario cost: 104263.89072711407789029181003570556640625 Optimization Status: 2 scenario cost: 104263.89072711407789029181003570556640625 optimization time for scenario: 81 = 0.0593841075897216796875 scenario cost: 83817.75435617132461629807949066162109375 Optimization Status: 2 scenario cost: 83817.75435617132461629807949066162109375 optimization time for scenario: 82 = 0.050446033477783203125 scenario cost: 96682.476314130020909942686557769775390625 Optimization Status: 2 scenario cost: 96682.476314130020909942686557769775390625 optimization time for scenario: 83 = 0.04345989227294921875 scenario cost: 89898.47490773195750080049037933349609375 Optimization Status: 2 scenario cost: 89898.47490773195750080049037933349609375 optimization time for scenario: 84 = 0.0496959686279296875 scenario cost: 93759.6731833122321404516696929931640625 Optimization Status: 2 scenario cost: 93759.6731833122321404516696929931640625 optimization time for scenario: 85 = 0.0552308559417724609375 scenario cost: 101670.137919360422529280185699462890625 Optimization Status: 2 scenario cost: 101670.137919360422529280185699462890625 optimization time for scenario: 86 = 0.0507309436798095703125 scenario cost: 87127.665952537397970445454120635986328125 Optimization Status: 2 scenario cost: 87127.665952537397970445454120635986328125 optimization time for scenario: 87 = 0.0808470249176025390625 scenario cost: 84396.27603372329031117260456085205078125 Optimization Status: 2 scenario cost: 84396.27603372329031117260456085205078125 optimization time for scenario: 88 = 0.104857921600341796875 scenario cost: 86938.8526408059406094253063201904296875 Optimization Status: 2 scenario cost: 86938.8526408059406094253063201904296875 optimization time for scenario: 89 = 0.110742092132568359375 scenario cost: 96094.51512282076873816549777984619140625 Optimization Status: 2 scenario cost: 96094.51512282076873816549777984619140625 optimization time for scenario: 90 = 0.0817039012908935546875 scenario cost: 92657.18817992051481269299983978271484375 Optimization Status: 2 scenario cost: 92657.18817992051481269299983978271484375 optimization time for scenario: 91 = 0.0808470249176025390625 scenario cost: 91023.1311550075770355761051177978515625 Optimization Status: 2 scenario cost: 91023.1311550075770355761051177978515625 optimization time for scenario: 92 = 0.090572834014892578125 scenario cost: 107449.91350200716988183557987213134765625 Optimization Status: 2 scenario cost: 107449.91350200716988183557987213134765625 optimization time for scenario: 93 = 0.108868122100830078125 scenario cost: 96280.06763615622185170650482177734375 Optimization Status: 2 scenario cost: 96280.06763615622185170650482177734375 optimization time for scenario: 94 = 0.0477240085601806640625 scenario cost: 94181.82546729338355362415313720703125 Optimization Status: 2 scenario cost: 94181.82546729338355362415313720703125 optimization time for scenario: 95 = 0.0486371517181396484375 scenario cost: 89528.8215293097891844809055328369140625 Optimization Status: 2 scenario cost: 89528.8215293097891844809055328369140625 optimization time for scenario: 96 = 0.048510074615478515625 scenario cost: 94010.606975051676272414624691009521484375 Optimization Status: 2 scenario cost: 94010.606975051676272414624691009521484375 optimization time for scenario: 97 = 0.04724216461181640625 scenario cost: 97608.465898171343724243342876434326171875 Optimization Status: 2 scenario cost: 97608.465898171343724243342876434326171875 optimization time for scenario: 98 = 0.0497300624847412109375 scenario cost: 98161.11311125173233449459075927734375 Optimization Status: 2 scenario cost: 98161.11311125173233449459075927734375 optimization time for scenario: 99 = 0.0497930049896240234375 Sending cuts of back to the stg 1 solver Objective Value 15609.057416031157117686234414577484130859375 memory usage: 112204504 received node: gen cut: Rental Cost 0 scenario cost: 95580.76947638645651750266551971435546875 Optimization Status: 2 scenario cost: 95580.76947638645651750266551971435546875 optimization time for scenario: 80 = 0.0490472316741943359375 scenario cost: 121318.677948835262213833630084991455078125 Optimization Status: 2 scenario cost: 121318.677948835262213833630084991455078125 optimization time for scenario: 81 = 0.0604360103607177734375 scenario cost: 93642.9761580010526813566684722900390625 Optimization Status: 2 scenario cost: 93642.9761580010526813566684722900390625 optimization time for scenario: 82 = 0.047851085662841796875 scenario cost: 106629.713735535231535322964191436767578125 Optimization Status: 2 scenario cost: 106629.713735535231535322964191436767578125 optimization time for scenario: 83 = 0.0460288524627685546875 scenario cost: 93824.7161120072123594582080841064453125 Optimization Status: 2 scenario cost: 93824.7161120072123594582080841064453125 optimization time for scenario: 84 = 0.0549881458282470703125 scenario cost: 102832.28528080301475711166858673095703125 Optimization Status: 2 scenario cost: 102832.28528080301475711166858673095703125 optimization time for scenario: 85 = 0.0479099750518798828125 scenario cost: 109427.945607221568934619426727294921875 Optimization Status: 2 scenario cost: 109427.945607221568934619426727294921875 optimization time for scenario: 86 = 0.04631805419921875 scenario cost: 95682.482677307867561466991901397705078125 Optimization Status: 2 scenario cost: 95682.482677307867561466991901397705078125 optimization time for scenario: 87 = 0.071506977081298828125 scenario cost: 92368.253886023871018551290035247802734375 Optimization Status: 2 scenario cost: 92368.253886023871018551290035247802734375 optimization time for scenario: 88 = 0.1100699901580810546875 scenario cost: 93043.798722519321017898619174957275390625 Optimization Status: 2 scenario cost: 93043.798722519321017898619174957275390625 optimization time for scenario: 89 = 0.0962760448455810546875 scenario cost: 101762.903496170765720307826995849609375 Optimization Status: 2 scenario cost: 101762.903496170765720307826995849609375 optimization time for scenario: 90 = 0.084353923797607421875 scenario cost: 102466.626846024635597132146358489990234375 Optimization Status: 2 scenario cost: 102466.626846024635597132146358489990234375 optimization time for scenario: 91 = 0.048182010650634765625 scenario cost: 102230.50392182535142637789249420166015625 Optimization Status: 2 scenario cost: 102230.50392182535142637789249420166015625 optimization time for scenario: 92 = 0.04568386077880859375 scenario cost: 118084.412442183747771196067333221435546875 Optimization Status: 2 scenario cost: 118084.412442183747771196067333221435546875 optimization time for scenario: 93 = 0.0471150875091552734375 scenario cost: 103698.61711014536558650434017181396484375 Optimization Status: 2 scenario cost: 103698.61711014536558650434017181396484375 optimization time for scenario: 94 = 0.046432971954345703125 scenario cost: 101943.880328872750396840274333953857421875 Optimization Status: 2 scenario cost: 101943.880328872750396840274333953857421875 optimization time for scenario: 95 = 0.04572010040283203125 scenario cost: 97163.933932435829774476587772369384765625 Optimization Status: 2 scenario cost: 97163.933932435829774476587772369384765625 optimization time for scenario: 96 = 0.0461370944976806640625 scenario cost: 104622.80272128767683170735836029052734375 Optimization Status: 2 scenario cost: 104622.80272128767683170735836029052734375 optimization time for scenario: 97 = 0.04553699493408203125 scenario cost: 110951.617662399468827061355113983154296875 Optimization Status: 2 scenario cost: 110951.617662399468827061355113983154296875 optimization time for scenario: 98 = 0.0933711528778076171875 scenario cost: 113139.599264855016372166574001312255859375 Optimization Status: 2 scenario cost: 113139.599264855016372166574001312255859375 optimization time for scenario: 99 = 0.0964381694793701171875 Sending cuts of back to the stg 1 solver Objective Value 17170.06896387310189311392605304718017578125 memory usage: 112206024 received node: gen cut: Rental Cost 0 scenario cost: 105270.688228465514839626848697662353515625 Optimization Status: 2 scenario cost: 105270.688228465514839626848697662353515625 optimization time for scenario: 60 = 0.0472538471221923828125 scenario cost: 86149.92886545407236553728580474853515625 Optimization Status: 2 scenario cost: 86149.92886545407236553728580474853515625 optimization time for scenario: 61 = 0.0468790531158447265625 scenario cost: 88125.360215285749291069805622100830078125 Optimization Status: 2 scenario cost: 88125.360215285749291069805622100830078125 optimization time for scenario: 62 = 0.049745082855224609375 scenario cost: 88803.025748384316102601587772369384765625 Optimization Status: 2 scenario cost: 88803.025748384316102601587772369384765625 optimization time for scenario: 63 = 0.103085994720458984375 scenario cost: 103863.313983983520301990211009979248046875 Optimization Status: 2 scenario cost: 103863.313983983520301990211009979248046875 optimization time for scenario: 64 = 0.10394287109375 scenario cost: 106066.177513050279230810701847076416015625 Optimization Status: 2 scenario cost: 106066.177513050279230810701847076416015625 optimization time for scenario: 65 = 0.0948021411895751953125 scenario cost: 97759.667659251208533532917499542236328125 Optimization Status: 2 scenario cost: 97759.667659251208533532917499542236328125 optimization time for scenario: 66 = 0.0952279567718505859375 scenario cost: 90468.678584675304591655731201171875 Optimization Status: 2 scenario cost: 90468.678584675304591655731201171875 optimization time for scenario: 67 = 0.1323959827423095703125 scenario cost: 89467.163352752380887977778911590576171875 Optimization Status: 2 scenario cost: 89467.163352752380887977778911590576171875 optimization time for scenario: 68 = 0.100222110748291015625 scenario cost: 93473.98446648535900749266147613525390625 Optimization Status: 2 scenario cost: 93473.98446648535900749266147613525390625 optimization time for scenario: 69 = 0.0976269245147705078125 scenario cost: 84732.846358451308333314955234527587890625 Optimization Status: 2 scenario cost: 84732.846358451308333314955234527587890625 optimization time for scenario: 70 = 0.1075961589813232421875 scenario cost: 109459.817102117100148461759090423583984375 Optimization Status: 2 scenario cost: 109459.817102117100148461759090423583984375 optimization time for scenario: 71 = 0.0787479877471923828125 scenario cost: 102690.57196466109598986804485321044921875 Optimization Status: 2 scenario cost: 102690.57196466109598986804485321044921875 optimization time for scenario: 72 = 0.0467360019683837890625 scenario cost: 103492.339248701682663522660732269287109375 Optimization Status: 2 scenario cost: 103492.339248701682663522660732269287109375 optimization time for scenario: 73 = 0.0456821918487548828125 scenario cost: 89779.191946052960702218115329742431640625 Optimization Status: 2 scenario cost: 89779.191946052960702218115329742431640625 optimization time for scenario: 74 = 0.04617595672607421875 scenario cost: 107361.47048733118572272360324859619140625 Optimization Status: 2 scenario cost: 107361.47048733118572272360324859619140625 optimization time for scenario: 75 = 0.04777812957763671875 scenario cost: 95498.7964230960351414978504180908203125 Optimization Status: 2 scenario cost: 95498.7964230960351414978504180908203125 optimization time for scenario: 76 = 0.046955108642578125 scenario cost: 97772.26101557290530763566493988037109375 Optimization Status: 2 scenario cost: 97772.26101557290530763566493988037109375 optimization time for scenario: 77 = 0.0456130504608154296875 scenario cost: 93916.29917147374362684786319732666015625 Optimization Status: 2 scenario cost: 93916.29917147374362684786319732666015625 optimization time for scenario: 78 = 0.0414011478424072265625 scenario cost: 92373.251069468024070374667644500732421875 Optimization Status: 2 scenario cost: 92373.251069468024070374667644500732421875 optimization time for scenario: 79 = 0.0325701236724853515625 Sending cuts of back to the stg 1 solver Objective Value 16054.3093942115010577253997325897216796875 memory usage: 112207544 received node: gen cut: Rental Cost 0 scenario cost: 91903.61447212679195217788219451904296875 Optimization Status: 2 scenario cost: 91903.61447212679195217788219451904296875 optimization time for scenario: 40 = 0.130071163177490234375 scenario cost: 108570.667117609889828599989414215087890625 Optimization Status: 2 scenario cost: 108570.667117609889828599989414215087890625 optimization time for scenario: 41 = 0.1021840572357177734375 scenario cost: 95178.144265651251771487295627593994140625 Optimization Status: 2 scenario cost: 95178.144265651251771487295627593994140625 optimization time for scenario: 42 = 0.1197681427001953125 scenario cost: 88960.91545615321956574916839599609375 Optimization Status: 2 scenario cost: 88960.91545615321956574916839599609375 optimization time for scenario: 43 = 0.108233928680419921875 scenario cost: 114428.14791812820476479828357696533203125 Optimization Status: 2 scenario cost: 114428.14791812820476479828357696533203125 optimization time for scenario: 44 = 0.1103000640869140625 scenario cost: 92856.252860364780644886195659637451171875 Optimization Status: 2 scenario cost: 92856.252860364780644886195659637451171875 optimization time for scenario: 45 = 0.1188640594482421875 scenario cost: 94938.0764942478272132575511932373046875 Optimization Status: 2 scenario cost: 94938.0764942478272132575511932373046875 optimization time for scenario: 46 = 0.11221599578857421875 scenario cost: 109265.08136088450555689632892608642578125 Optimization Status: 2 scenario cost: 109265.08136088450555689632892608642578125 optimization time for scenario: 47 = 0.10783100128173828125 scenario cost: 101746.5301143155083991587162017822265625 Optimization Status: 2 scenario cost: 101746.5301143155083991587162017822265625 optimization time for scenario: 48 = 0.11054897308349609375 scenario cost: 96048.485656320161069743335247039794921875 Optimization Status: 2 scenario cost: 96048.485656320161069743335247039794921875 optimization time for scenario: 49 = 0.1110389232635498046875 scenario cost: 81435.45848752735764719545841217041015625 Optimization Status: 2 scenario cost: 81435.45848752735764719545841217041015625 optimization time for scenario: 50 = 0.1003248691558837890625 scenario cost: 126991.36501997918821871280670166015625 Optimization Status: 2 scenario cost: 126991.36501997918821871280670166015625 optimization time for scenario: 51 = 0.066198825836181640625 scenario cost: 88677.316996280729654245078563690185546875 Optimization Status: 2 scenario cost: 88677.316996280729654245078563690185546875 optimization time for scenario: 52 = 0.047235012054443359375 scenario cost: 84957.469240509512019343674182891845703125 Optimization Status: 2 scenario cost: 84957.469240509512019343674182891845703125 optimization time for scenario: 53 = 0.0498850345611572265625 scenario cost: 82055.391246008934103883802890777587890625 Optimization Status: 2 scenario cost: 82055.391246008934103883802890777587890625 optimization time for scenario: 54 = 0.0435869693756103515625 scenario cost: 89997.62713673873804509639739990234375 Optimization Status: 2 scenario cost: 89997.62713673873804509639739990234375 optimization time for scenario: 55 = 0.0467259883880615234375 scenario cost: 93350.20970983072766102850437164306640625 Optimization Status: 2 scenario cost: 93350.20970983072766102850437164306640625 optimization time for scenario: 56 = 0.0514049530029296875 scenario cost: 97240.984980977678787894546985626220703125 Optimization Status: 2 scenario cost: 97240.984980977678787894546985626220703125 optimization time for scenario: 57 = 0.045711994171142578125 scenario cost: 97923.59976583768730051815509796142578125 Optimization Status: 2 scenario cost: 97923.59976583768730051815509796142578125 optimization time for scenario: 58 = 0.0271461009979248046875 scenario cost: 105783.20477606239728629589080810546875 Optimization Status: 2 scenario cost: 105783.20477606239728629589080810546875 optimization time for scenario: 59 = 0.0274531841278076171875 Sending cuts of back to the stg 1 solver Objective Value 16185.839782011522402171976864337921142578125 memory usage: 112209064 received node: gen cut: Rental Cost 0 scenario cost: 106872.643930039717815816402435302734375 Optimization Status: 2 scenario cost: 106872.643930039717815816402435302734375 optimization time for scenario: 100 = 0.0431110858917236328125 scenario cost: 111628.320063101258710958063602447509765625 Optimization Status: 2 scenario cost: 111628.320063101258710958063602447509765625 optimization time for scenario: 101 = 0.046761989593505859375 scenario cost: 90485.71180138600175268948078155517578125 Optimization Status: 2 scenario cost: 90485.71180138600175268948078155517578125 optimization time for scenario: 102 = 0.06350994110107421875 scenario cost: 97220.305774843218387104570865631103515625 Optimization Status: 2 scenario cost: 97220.305774843218387104570865631103515625 optimization time for scenario: 103 = 0.100924015045166015625 scenario cost: 93311.5624635050189681351184844970703125 Optimization Status: 2 scenario cost: 93311.5624635050189681351184844970703125 optimization time for scenario: 104 = 0.0962898731231689453125 scenario cost: 106998.19464814275852404534816741943359375 Optimization Status: 2 scenario cost: 106998.19464814275852404534816741943359375 optimization time for scenario: 105 = 0.0949361324310302734375 scenario cost: 86493.489149848071974702179431915283203125 Optimization Status: 2 scenario cost: 86493.489149848071974702179431915283203125 optimization time for scenario: 106 = 0.1049201488494873046875 scenario cost: 101114.317883453375543467700481414794921875 Optimization Status: 2 scenario cost: 101114.317883453375543467700481414794921875 optimization time for scenario: 107 = 0.110919952392578125 scenario cost: 114278.392389003784046508371829986572265625 Optimization Status: 2 scenario cost: 114278.392389003784046508371829986572265625 optimization time for scenario: 108 = 0.10731792449951171875 scenario cost: 99803.56500215569394640624523162841796875 Optimization Status: 2 scenario cost: 99803.56500215569394640624523162841796875 optimization time for scenario: 109 = 0.098393917083740234375 scenario cost: 97389.69719851962872780859470367431640625 Optimization Status: 2 scenario cost: 97389.69719851962872780859470367431640625 optimization time for scenario: 110 = 0.1023509502410888671875 scenario cost: 99302.59895334215252660214900970458984375 Optimization Status: 2 scenario cost: 99302.59895334215252660214900970458984375 optimization time for scenario: 111 = 0.0924108028411865234375 scenario cost: 92605.80116832317435182631015777587890625 Optimization Status: 2 scenario cost: 92605.80116832317435182631015777587890625 optimization time for scenario: 112 = 0.102313995361328125 scenario cost: 105475.6334201720892451703548431396484375 Optimization Status: 2 scenario cost: 105475.6334201720892451703548431396484375 optimization time for scenario: 113 = 0.0960190296173095703125 scenario cost: 90122.925568246471812017261981964111328125 Optimization Status: 2 scenario cost: 90122.925568246471812017261981964111328125 optimization time for scenario: 114 = 0.0949308872222900390625 scenario cost: 93469.210783862159587442874908447265625 Optimization Status: 2 scenario cost: 93469.210783862159587442874908447265625 optimization time for scenario: 115 = 0.0453281402587890625 scenario cost: 100298.317488679444068111479282379150390625 Optimization Status: 2 scenario cost: 100298.317488679444068111479282379150390625 optimization time for scenario: 116 = 0.0355241298675537109375 scenario cost: 95859.099312374877627007663249969482421875 Optimization Status: 2 scenario cost: 95859.099312374877627007663249969482421875 optimization time for scenario: 117 = 0.02848720550537109375 scenario cost: 94634.390759421265101991593837738037109375 Optimization Status: 2 scenario cost: 94634.390759421265101991593837738037109375 optimization time for scenario: 118 = 0.028421878814697265625 scenario cost: 92033.879514005544479005038738250732421875 Optimization Status: 2 scenario cost: 92033.879514005544479005038738250732421875 optimization time for scenario: 119 = 0.03050899505615234375 Sending cuts of back to the stg 1 solver Objective Value 16411.584830668303766287863254547119140625 memory usage: 112210584 received node: gen cut: Rental Cost 0 scenario cost: 99690.40014342064387165009975433349609375 Optimization Status: 2 scenario cost: 99690.40014342064387165009975433349609375 optimization time for scenario: 100 = 0.05416202545166015625 scenario cost: 104888.17434706698986701667308807373046875 Optimization Status: 2 scenario cost: 104888.17434706698986701667308807373046875 optimization time for scenario: 101 = 0.04973888397216796875 scenario cost: 84406.600654898080392740666866302490234375 Optimization Status: 2 scenario cost: 84406.600654898080392740666866302490234375 optimization time for scenario: 102 = 0.051784038543701171875 scenario cost: 91592.38581799928215332329273223876953125 Optimization Status: 2 scenario cost: 91592.38581799928215332329273223876953125 optimization time for scenario: 103 = 0.0498600006103515625 scenario cost: 88059.74887069195392541587352752685546875 Optimization Status: 2 scenario cost: 88059.74887069195392541587352752685546875 optimization time for scenario: 104 = 0.051803112030029296875 scenario cost: 99382.35771895272773690521717071533203125 Optimization Status: 2 scenario cost: 99382.35771895272773690521717071533203125 optimization time for scenario: 105 = 0.0475709438323974609375 scenario cost: 80853.943166927085258066654205322265625 Optimization Status: 2 scenario cost: 80853.943166927085258066654205322265625 optimization time for scenario: 106 = 0.052764892578125 scenario cost: 95619.541949282414861954748630523681640625 Optimization Status: 2 scenario cost: 95619.541949282414861954748630523681640625 optimization time for scenario: 107 = 0.0990068912506103515625 scenario cost: 108485.60588342245318926870822906494140625 Optimization Status: 2 scenario cost: 108485.60588342245318926870822906494140625 optimization time for scenario: 108 = 0.098351955413818359375 scenario cost: 94876.466927127257804386317729949951171875 Optimization Status: 2 scenario cost: 94876.466927127257804386317729949951171875 optimization time for scenario: 109 = 0.11066913604736328125 scenario cost: 91867.019483018157188780605792999267578125 Optimization Status: 2 scenario cost: 91867.019483018157188780605792999267578125 optimization time for scenario: 110 = 0.1100800037384033203125 scenario cost: 93973.6202114963089115917682647705078125 Optimization Status: 2 scenario cost: 93973.6202114963089115917682647705078125 optimization time for scenario: 111 = 0.11795902252197265625 scenario cost: 86945.8636247142567299306392669677734375 Optimization Status: 2 scenario cost: 86945.8636247142567299306392669677734375 optimization time for scenario: 112 = 0.1114389896392822265625 scenario cost: 99806.00119457623804919421672821044921875 Optimization Status: 2 scenario cost: 99806.00119457623804919421672821044921875 optimization time for scenario: 113 = 0.1089038848876953125 scenario cost: 84514.66156647590105421841144561767578125 Optimization Status: 2 scenario cost: 84514.66156647590105421841144561767578125 optimization time for scenario: 114 = 0.107987880706787109375 scenario cost: 87895.225059868185780942440032958984375 Optimization Status: 2 scenario cost: 87895.225059868185780942440032958984375 optimization time for scenario: 115 = 0.0984809398651123046875 scenario cost: 94676.53310784700443036854267120361328125 Optimization Status: 2 scenario cost: 94676.53310784700443036854267120361328125 optimization time for scenario: 116 = 0.0747749805450439453125 scenario cost: 89411.521206575052929110825061798095703125 Optimization Status: 2 scenario cost: 89411.521206575052929110825061798095703125 optimization time for scenario: 117 = 0.053266048431396484375 scenario cost: 88316.38206943162367679178714752197265625 Optimization Status: 2 scenario cost: 88316.38206943162367679178714752197265625 optimization time for scenario: 118 = 0.0493099689483642578125 scenario cost: 86225.05036652111448347568511962890625 Optimization Status: 2 scenario cost: 86225.05036652111448347568511962890625 optimization time for scenario: 119 = 0.047276020050048828125 Sending cuts of back to the stg 1 solver Objective Value 15428.997478515824695932678878307342529296875 memory usage: 112212104 received node: gen cut: Rental Cost 0 scenario cost: 102104.7681666397838853299617767333984375 Optimization Status: 2 scenario cost: 102104.7681666397838853299617767333984375 optimization time for scenario: 100 = 0.0617120265960693359375 scenario cost: 106727.785679028092999942600727081298828125 Optimization Status: 2 scenario cost: 106727.785679028092999942600727081298828125 optimization time for scenario: 101 = 0.061460018157958984375 scenario cost: 86352.266026712473831139504909515380859375 Optimization Status: 2 scenario cost: 86352.266026712473831139504909515380859375 optimization time for scenario: 102 = 0.0568768978118896484375 scenario cost: 93215.774590010405518114566802978515625 Optimization Status: 2 scenario cost: 93215.774590010405518114566802978515625 optimization time for scenario: 103 = 0.0569031238555908203125 scenario cost: 89572.703028888106928206980228424072265625 Optimization Status: 2 scenario cost: 89572.703028888106928206980228424072265625 optimization time for scenario: 104 = 0.0576241016387939453125 scenario cost: 102098.649800777973723597824573516845703125 Optimization Status: 2 scenario cost: 102098.649800777973723597824573516845703125 optimization time for scenario: 105 = 0.0585930347442626953125 scenario cost: 82535.02148547882097773253917694091796875 Optimization Status: 2 scenario cost: 82535.02148547882097773253917694091796875 optimization time for scenario: 106 = 0.073054790496826171875 scenario cost: 97076.565262085307040251791477203369140625 Optimization Status: 2 scenario cost: 97076.565262085307040251791477203369140625 optimization time for scenario: 107 = 0.054645061492919921875 scenario cost: 110162.809754312082077376544475555419921875 Optimization Status: 2 scenario cost: 110162.809754312082077376544475555419921875 optimization time for scenario: 108 = 0.0884850025177001953125 scenario cost: 95849.81111542266444303095340728759765625 Optimization Status: 2 scenario cost: 95849.81111542266444303095340728759765625 optimization time for scenario: 109 = 0.1178379058837890625 scenario cost: 93433.636566907007363624870777130126953125 Optimization Status: 2 scenario cost: 93433.636566907007363624870777130126953125 optimization time for scenario: 110 = 0.0755069255828857421875 scenario cost: 95459.60185915767215192317962646484375 Optimization Status: 2 scenario cost: 95459.60185915767215192317962646484375 optimization time for scenario: 111 = 0.056131839752197265625 scenario cost: 88580.708032830545562319457530975341796875 Optimization Status: 2 scenario cost: 88580.708032830545562319457530975341796875 optimization time for scenario: 112 = 0.0561950206756591796875 scenario cost: 101795.90615855521173216402530670166015625 Optimization Status: 2 scenario cost: 101795.90615855521173216402530670166015625 optimization time for scenario: 113 = 0.0566389560699462890625 scenario cost: 86326.243691959607531316578388214111328125 Optimization Status: 2 scenario cost: 86326.243691959607531316578388214111328125 optimization time for scenario: 114 = 0.05749797821044921875 scenario cost: 89613.88980422369786538183689117431640625 Optimization Status: 2 scenario cost: 89613.88980422369786538183689117431640625 optimization time for scenario: 115 = 0.0837399959564208984375 scenario cost: 96249.006932805656106211245059967041015625 Optimization Status: 2 scenario cost: 96249.006932805656106211245059967041015625 optimization time for scenario: 116 = 0.1042320728302001953125 scenario cost: 91179.9010837249807082116603851318359375 Optimization Status: 2 scenario cost: 91179.9010837249807082116603851318359375 optimization time for scenario: 117 = 0.1118810176849365234375 scenario cost: 90127.6017710003070533275604248046875 Optimization Status: 2 scenario cost: 90127.6017710003070533275604248046875 optimization time for scenario: 118 = 0.06974315643310546875 scenario cost: 88060.0583966529811732470989227294921875 Optimization Status: 2 scenario cost: 88060.0583966529811732470989227294921875 optimization time for scenario: 119 = 0.0558049678802490234375 Sending cuts of back to the stg 1 solver Objective Value 15720.959692636140971444547176361083984375 memory usage: 112213624 received node: gen cut: Rental Cost 0 scenario cost: 101574.455578609995427541434764862060546875 Optimization Status: 2 scenario cost: 101574.455578609995427541434764862060546875 optimization time for scenario: 60 = 0.0883350372314453125 scenario cost: 84286.460689096056739799678325653076171875 Optimization Status: 2 scenario cost: 84286.460689096056739799678325653076171875 optimization time for scenario: 61 = 0.11832904815673828125 scenario cost: 86504.693771544363698922097682952880859375 Optimization Status: 2 scenario cost: 86504.693771544363698922097682952880859375 optimization time for scenario: 62 = 0.0769531726837158203125 scenario cost: 87161.906741860744659788906574249267578125 Optimization Status: 2 scenario cost: 87161.906741860744659788906574249267578125 optimization time for scenario: 63 = 0.054587841033935546875 scenario cost: 101806.340230806687031872570514678955078125 Optimization Status: 2 scenario cost: 101806.340230806687031872570514678955078125 optimization time for scenario: 64 = 0.0557620525360107421875 scenario cost: 103151.23261109812301583588123321533203125 Optimization Status: 2 scenario cost: 103151.23261109812301583588123321533203125 optimization time for scenario: 65 = 0.053699016571044921875 scenario cost: 94767.57861443818546831607818603515625 Optimization Status: 2 scenario cost: 94767.57861443818546831607818603515625 optimization time for scenario: 66 = 0.056208133697509765625 scenario cost: 87516.521564303882769308984279632568359375 Optimization Status: 2 scenario cost: 87516.521564303882769308984279632568359375 optimization time for scenario: 67 = 0.067842006683349609375 scenario cost: 87991.4255105445045046508312225341796875 Optimization Status: 2 scenario cost: 87991.4255105445045046508312225341796875 optimization time for scenario: 68 = 0.1197898387908935546875 scenario cost: 91521.704030837965547107160091400146484375 Optimization Status: 2 scenario cost: 91521.704030837965547107160091400146484375 optimization time for scenario: 69 = 0.1315860748291015625 scenario cost: 83995.840797308759647421538829803466796875 Optimization Status: 2 scenario cost: 83995.840797308759647421538829803466796875 optimization time for scenario: 70 = 0.1667258739471435546875 scenario cost: 106484.736591058215708471834659576416015625 Optimization Status: 2 scenario cost: 106484.736591058215708471834659576416015625 optimization time for scenario: 71 = 0.1529810428619384765625 scenario cost: 101206.99041912888060323894023895263671875 Optimization Status: 2 scenario cost: 101206.99041912888060323894023895263671875 optimization time for scenario: 72 = 0.107151031494140625 scenario cost: 101818.605273380773724056780338287353515625 Optimization Status: 2 scenario cost: 101818.605273380773724056780338287353515625 optimization time for scenario: 73 = 0.057899951934814453125 scenario cost: 87932.649514194068615324795246124267578125 Optimization Status: 2 scenario cost: 87932.649514194068615324795246124267578125 optimization time for scenario: 74 = 0.0537559986114501953125 scenario cost: 104948.754223275580443441867828369140625 Optimization Status: 2 scenario cost: 104948.754223275580443441867828369140625 optimization time for scenario: 75 = 0.053256988525390625 scenario cost: 93856.456386356730945408344268798828125 Optimization Status: 2 scenario cost: 93856.456386356730945408344268798828125 optimization time for scenario: 76 = 0.0560328960418701171875 scenario cost: 95863.83690219270647503435611724853515625 Optimization Status: 2 scenario cost: 95863.83690219270647503435611724853515625 optimization time for scenario: 77 = 0.0513718128204345703125 scenario cost: 92572.717193993637920357286930084228515625 Optimization Status: 2 scenario cost: 92572.717193993637920357286930084228515625 optimization time for scenario: 78 = 0.050346851348876953125 scenario cost: 89365.187378065675147809088230133056640625 Optimization Status: 2 scenario cost: 89365.187378065675147809088230133056640625 optimization time for scenario: 79 = 0.0502359867095947265625 Sending cuts of back to the stg 1 solver Objective Value 15702.6713059143294231034815311431884765625 memory usage: 112215144 received node: gen cut: Rental Cost 0 scenario cost: 88363.451106521417386829853057861328125 Optimization Status: 2 scenario cost: 88363.451106521417386829853057861328125 optimization time for scenario: 40 = 0.156365871429443359375 scenario cost: 104668.27724719999241642653942108154296875 Optimization Status: 2 scenario cost: 104668.27724719999241642653942108154296875 optimization time for scenario: 41 = 0.1229817867279052734375 scenario cost: 92386.218873255289508961141109466552734375 Optimization Status: 2 scenario cost: 92386.218873255289508961141109466552734375 optimization time for scenario: 42 = 0.10062694549560546875 scenario cost: 85843.737588870353647507727146148681640625 Optimization Status: 2 scenario cost: 85843.737588870353647507727146148681640625 optimization time for scenario: 43 = 0.1003131866455078125 scenario cost: 110095.7123389753396622836589813232421875 Optimization Status: 2 scenario cost: 110095.7123389753396622836589813232421875 optimization time for scenario: 44 = 0.119143009185791015625 scenario cost: 89863.929446360809379257261753082275390625 Optimization Status: 2 scenario cost: 89863.929446360809379257261753082275390625 optimization time for scenario: 45 = 0.11550998687744140625 scenario cost: 91852.8428588602109812200069427490234375 Optimization Status: 2 scenario cost: 91852.8428588602109812200069427490234375 optimization time for scenario: 46 = 0.1114518642425537109375 scenario cost: 104995.31519013247452676296234130859375 Optimization Status: 2 scenario cost: 104995.31519013247452676296234130859375 optimization time for scenario: 47 = 0.1124150753021240234375 scenario cost: 98930.85923881977214477956295013427734375 Optimization Status: 2 scenario cost: 98930.85923881977214477956295013427734375 optimization time for scenario: 48 = 0.0998210906982421875 scenario cost: 92840.505200973988394252955913543701171875 Optimization Status: 2 scenario cost: 92840.505200973988394252955913543701171875 optimization time for scenario: 49 = 0.1128408908843994140625 scenario cost: 78500.79827755721635185182094573974609375 Optimization Status: 2 scenario cost: 78500.79827755721635185182094573974609375 optimization time for scenario: 50 = 0.0920698642730712890625 scenario cost: 114629.33092414491693489253520965576171875 Optimization Status: 2 scenario cost: 114629.33092414491693489253520965576171875 optimization time for scenario: 51 = 0.054235935211181640625 scenario cost: 85727.180237726963241584599018096923828125 Optimization Status: 2 scenario cost: 85727.180237726963241584599018096923828125 optimization time for scenario: 52 = 0.0548341274261474609375 scenario cost: 81905.607671700519858859479427337646484375 Optimization Status: 2 scenario cost: 81905.607671700519858859479427337646484375 optimization time for scenario: 53 = 0.0525820255279541015625 scenario cost: 79600.3805338275269605219364166259765625 Optimization Status: 2 scenario cost: 79600.3805338275269605219364166259765625 optimization time for scenario: 54 = 0.0423038005828857421875 scenario cost: 85534.41255376636399887502193450927734375 Optimization Status: 2 scenario cost: 85534.41255376636399887502193450927734375 optimization time for scenario: 55 = 0.03353404998779296875 scenario cost: 90386.159756655732053332030773162841796875 Optimization Status: 2 scenario cost: 90386.159756655732053332030773162841796875 optimization time for scenario: 56 = 0.03590106964111328125 scenario cost: 94170.09964033370488323271274566650390625 Optimization Status: 2 scenario cost: 94170.09964033370488323271274566650390625 optimization time for scenario: 57 = 0.03322601318359375 scenario cost: 94919.90280896346666850149631500244140625 Optimization Status: 2 scenario cost: 94919.90280896346666850149631500244140625 optimization time for scenario: 58 = 0.0329859256744384765625 scenario cost: 102757.072498436435125768184661865234375 Optimization Status: 2 scenario cost: 102757.072498436435125768184661865234375 optimization time for scenario: 59 = 0.032660961151123046875 Sending cuts of back to the stg 1 solver Objective Value 15566.36935088255631853826344013214111328125 memory usage: 112216664 received node: gen cut: Rental Cost 0 scenario cost: 99277.816791419332730583846569061279296875 Optimization Status: 2 scenario cost: 99277.816791419332730583846569061279296875 optimization time for scenario: 100 = 0.1243340969085693359375 scenario cost: 103945.275799085837206803262233734130859375 Optimization Status: 2 scenario cost: 103945.275799085837206803262233734130859375 optimization time for scenario: 101 = 0.091845035552978515625 scenario cost: 83450.053024015272967517375946044921875 Optimization Status: 2 scenario cost: 83450.053024015272967517375946044921875 optimization time for scenario: 102 = 0.122478008270263671875 scenario cost: 90198.277253264983301050961017608642578125 Optimization Status: 2 scenario cost: 90198.277253264983301050961017608642578125 optimization time for scenario: 103 = 0.1291599273681640625 scenario cost: 86573.88304047557176090776920318603515625 Optimization Status: 2 scenario cost: 86573.88304047557176090776920318603515625 optimization time for scenario: 104 = 0.1212561130523681640625 scenario cost: 99302.28655614200397394597530364990234375 Optimization Status: 2 scenario cost: 99302.28655614200397394597530364990234375 optimization time for scenario: 105 = 0.1419999599456787109375 scenario cost: 79568.025200905161909759044647216796875 Optimization Status: 2 scenario cost: 79568.025200905161909759044647216796875 optimization time for scenario: 106 = 0.098699092864990234375 scenario cost: 94189.706336544477380812168121337890625 Optimization Status: 2 scenario cost: 94189.706336544477380812168121337890625 optimization time for scenario: 107 = 0.119986057281494140625 scenario cost: 107186.9731100161443464457988739013671875 Optimization Status: 2 scenario cost: 107186.9731100161443464457988739013671875 optimization time for scenario: 108 = 0.114595890045166015625 scenario cost: 92866.065883416798897087574005126953125 Optimization Status: 2 scenario cost: 92866.065883416798897087574005126953125 optimization time for scenario: 109 = 0.1182081699371337890625 scenario cost: 90523.35020870997686870396137237548828125 Optimization Status: 2 scenario cost: 90523.35020870997686870396137237548828125 optimization time for scenario: 110 = 0.104711055755615234375 scenario cost: 92602.062269918373203836381435394287109375 Optimization Status: 2 scenario cost: 92602.062269918373203836381435394287109375 optimization time for scenario: 111 = 0.0571639537811279296875 scenario cost: 85624.084711389034055173397064208984375 Optimization Status: 2 scenario cost: 85624.084711389034055173397064208984375 optimization time for scenario: 112 = 0.05920696258544921875 scenario cost: 98813.724205564518342725932598114013671875 Optimization Status: 2 scenario cost: 98813.724205564518342725932598114013671875 optimization time for scenario: 113 = 0.05478382110595703125 scenario cost: 83234.54003389712306670844554901123046875 Optimization Status: 2 scenario cost: 83234.54003389712306670844554901123046875 optimization time for scenario: 114 = 0.0523149967193603515625 scenario cost: 86725.87046253148582763969898223876953125 Optimization Status: 2 scenario cost: 86725.87046253148582763969898223876953125 optimization time for scenario: 115 = 0.0553760528564453125 scenario cost: 93112.738323681362089700996875762939453125 Optimization Status: 2 scenario cost: 93112.738323681362089700996875762939453125 optimization time for scenario: 116 = 0.054810047149658203125 scenario cost: 88326.1504627138492651283740997314453125 Optimization Status: 2 scenario cost: 88326.1504627138492651283740997314453125 optimization time for scenario: 117 = 0.053019046783447265625 scenario cost: 87115.279681445317692123353481292724609375 Optimization Status: 2 scenario cost: 87115.279681445317692123353481292724609375 optimization time for scenario: 118 = 0.0547668933868408203125 scenario cost: 85056.729679673226200975477695465087890625 Optimization Status: 2 scenario cost: 85056.729679673226200975477695465087890625 optimization time for scenario: 119 = 0.04858493804931640625 Sending cuts of back to the stg 1 solver Objective Value 15230.713185526985398610122501850128173828125 memory usage: 112218184 received node: gen cut: Rental Cost 0 scenario cost: 93327.201831614613183774054050445556640625 Optimization Status: 2 scenario cost: 93327.201831614613183774054050445556640625 optimization time for scenario: 20 = 0.10486698150634765625 scenario cost: 82832.137214939852128736674785614013671875 Optimization Status: 2 scenario cost: 82832.137214939852128736674785614013671875 optimization time for scenario: 21 = 0.1052629947662353515625 scenario cost: 83237.403370736647048033773899078369140625 Optimization Status: 2 scenario cost: 83237.403370736647048033773899078369140625 optimization time for scenario: 22 = 0.0767822265625 scenario cost: 92808.583966314050485379993915557861328125 Optimization Status: 2 scenario cost: 92808.583966314050485379993915557861328125 optimization time for scenario: 23 = 0.0514888763427734375 scenario cost: 76694.178281375308870337903499603271484375 Optimization Status: 2 scenario cost: 76694.178281375308870337903499603271484375 optimization time for scenario: 24 = 0.0512640476226806640625 scenario cost: 93621.7792203162680380046367645263671875 Optimization Status: 2 scenario cost: 93621.7792203162680380046367645263671875 optimization time for scenario: 25 = 0.0527031421661376953125 scenario cost: 83108.877359963793423958122730255126953125 Optimization Status: 2 scenario cost: 83108.877359963793423958122730255126953125 optimization time for scenario: 26 = 0.0536038875579833984375 scenario cost: 86389.383072822456597350537776947021484375 Optimization Status: 2 scenario cost: 86389.383072822456597350537776947021484375 optimization time for scenario: 27 = 0.0514240264892578125 scenario cost: 98693.25965923737385310232639312744140625 Optimization Status: 2 scenario cost: 98693.25965923737385310232639312744140625 optimization time for scenario: 28 = 0.0516650676727294921875 scenario cost: 90104.14627131671295501291751861572265625 Optimization Status: 2 scenario cost: 90104.14627131671295501291751861572265625 optimization time for scenario: 29 = 0.0517578125 scenario cost: 119200.253653854248113930225372314453125 Optimization Status: 2 scenario cost: 119200.253653854248113930225372314453125 optimization time for scenario: 30 = 0.0526180267333984375 scenario cost: 95358.03447409463115036487579345703125 Optimization Status: 2 scenario cost: 95358.03447409463115036487579345703125 optimization time for scenario: 31 = 0.052258968353271484375 scenario cost: 107678.613637742935679852962493896484375 Optimization Status: 2 scenario cost: 107678.613637742935679852962493896484375 optimization time for scenario: 32 = 0.0814201831817626953125 scenario cost: 101933.7457525242934934794902801513671875 Optimization Status: 2 scenario cost: 101933.7457525242934934794902801513671875 optimization time for scenario: 33 = 0.0993368625640869140625 scenario cost: 103582.269088333254330791532993316650390625 Optimization Status: 2 scenario cost: 103582.269088333254330791532993316650390625 optimization time for scenario: 34 = 0.121284008026123046875 scenario cost: 95848.937506757894880138337612152099609375 Optimization Status: 2 scenario cost: 95848.937506757894880138337612152099609375 optimization time for scenario: 35 = 0.077434062957763671875 scenario cost: 81382.08132122372626326978206634521484375 Optimization Status: 2 scenario cost: 81382.08132122372626326978206634521484375 optimization time for scenario: 36 = 0.0526859760284423828125 scenario cost: 90301.966732025743112899363040924072265625 Optimization Status: 2 scenario cost: 90301.966732025743112899363040924072265625 optimization time for scenario: 37 = 0.07421112060546875 scenario cost: 99187.316826495502027682960033416748046875 Optimization Status: 2 scenario cost: 99187.316826495502027682960033416748046875 optimization time for scenario: 38 = 0.1036579608917236328125 scenario cost: 88866.06882530936854891479015350341796875 Optimization Status: 2 scenario cost: 88866.06882530936854891479015350341796875 optimization time for scenario: 39 = 0.054149150848388671875 Sending cuts of back to the stg 1 solver Objective Value 15534.5731786837204708717763423919677734375 memory usage: 112219704 received node: gen cut: Rental Cost 0 scenario cost: 84196.905618559641879983246326446533203125 Optimization Status: 2 scenario cost: 84196.905618559641879983246326446533203125 optimization time for scenario: 80 = 0.12710094451904296875 scenario cost: 100685.02762752215494401752948760986328125 Optimization Status: 2 scenario cost: 100685.02762752215494401752948760986328125 optimization time for scenario: 81 = 0.147202014923095703125 scenario cost: 80215.48345053315279074013233184814453125 Optimization Status: 2 scenario cost: 80215.48345053315279074013233184814453125 optimization time for scenario: 82 = 0.15044403076171875 scenario cost: 92988.247595828957855701446533203125 Optimization Status: 2 scenario cost: 92988.247595828957855701446533203125 optimization time for scenario: 83 = 0.122959136962890625 scenario cost: 85298.2459465059801004827022552490234375 Optimization Status: 2 scenario cost: 85298.2459465059801004827022552490234375 optimization time for scenario: 84 = 0.1280190944671630859375 scenario cost: 90147.546935048958403058350086212158203125 Optimization Status: 2 scenario cost: 90147.546935048958403058350086212158203125 optimization time for scenario: 85 = 0.114158153533935546875 scenario cost: 98126.203366897068917751312255859375 Optimization Status: 2 scenario cost: 98126.203366897068917751312255859375 optimization time for scenario: 86 = 0.0726120471954345703125 scenario cost: 83177.599611200988874770700931549072265625 Optimization Status: 2 scenario cost: 83177.599611200988874770700931549072265625 optimization time for scenario: 87 = 0.05671787261962890625 scenario cost: 80827.020751540971104986965656280517578125 Optimization Status: 2 scenario cost: 80827.020751540971104986965656280517578125 optimization time for scenario: 88 = 0.05601406097412109375 scenario cost: 82361.584006301112822256982326507568359375 Optimization Status: 2 scenario cost: 82361.584006301112822256982326507568359375 optimization time for scenario: 89 = 0.055180072784423828125 scenario cost: 91453.546464835162623785436153411865234375 Optimization Status: 2 scenario cost: 91453.546464835162623785436153411865234375 optimization time for scenario: 90 = 0.060841083526611328125 scenario cost: 89111.792987442648154683411121368408203125 Optimization Status: 2 scenario cost: 89111.792987442648154683411121368408203125 optimization time for scenario: 91 = 0.0553019046783447265625 scenario cost: 87428.490946309291757643222808837890625 Optimization Status: 2 scenario cost: 87428.490946309291757643222808837890625 optimization time for scenario: 92 = 0.054277896881103515625 scenario cost: 103887.11789275813498534262180328369140625 Optimization Status: 2 scenario cost: 103887.11789275813498534262180328369140625 optimization time for scenario: 93 = 0.0534260272979736328125 scenario cost: 92678.313040859051398001611232757568359375 Optimization Status: 2 scenario cost: 92678.313040859051398001611232757568359375 optimization time for scenario: 94 = 0.052632808685302734375 scenario cost: 90630.619242473345366306602954864501953125 Optimization Status: 2 scenario cost: 90630.619242473345366306602954864501953125 optimization time for scenario: 95 = 0.0552809238433837890625 scenario cost: 84853.333709404352703131735324859619140625 Optimization Status: 2 scenario cost: 84853.333709404352703131735324859619140625 optimization time for scenario: 96 = 0.0538079738616943359375 scenario cost: 90465.16604774186271242797374725341796875 Optimization Status: 2 scenario cost: 90465.16604774186271242797374725341796875 optimization time for scenario: 97 = 0.0548970699310302734375 scenario cost: 94054.954288874505436979234218597412109375 Optimization Status: 2 scenario cost: 94054.954288874505436979234218597412109375 optimization time for scenario: 98 = 0.054769992828369140625 scenario cost: 94595.012251829946762882173061370849609375 Optimization Status: 2 scenario cost: 94595.012251829946762882173061370849609375 optimization time for scenario: 99 = 0.054051876068115234375 Sending cuts of back to the stg 1 solver Objective Value 14976.4585254468329367227852344512939453125 memory usage: 112221224 received node: gen cut: Rental Cost 0 scenario cost: 86215.824835480118053965270519256591796875 Optimization Status: 2 scenario cost: 86215.824835480118053965270519256591796875 optimization time for scenario: 80 = 0.094853878021240234375 scenario cost: 103416.144382104146643541753292083740234375 Optimization Status: 2 scenario cost: 103416.144382104146643541753292083740234375 optimization time for scenario: 81 = 0.083055973052978515625 scenario cost: 82897.7053602071828208863735198974609375 Optimization Status: 2 scenario cost: 82897.7053602071828208863735198974609375 optimization time for scenario: 82 = 0.06326007843017578125 scenario cost: 96565.08624886817415244877338409423828125 Optimization Status: 2 scenario cost: 96565.08624886817415244877338409423828125 optimization time for scenario: 83 = 0.0951058864593505859375 scenario cost: 87361.7735240370966494083404541015625 Optimization Status: 2 scenario cost: 87361.7735240370966494083404541015625 optimization time for scenario: 84 = 0.0953910350799560546875 scenario cost: 92999.1911013799835927784442901611328125 Optimization Status: 2 scenario cost: 92999.1911013799835927784442901611328125 optimization time for scenario: 85 = 0.0966780185699462890625 scenario cost: 100541.494578127530985511839389801025390625 Optimization Status: 2 scenario cost: 100541.494578127530985511839389801025390625 optimization time for scenario: 86 = 0.082561016082763671875 scenario cost: 85039.168453201753436587750911712646484375 Optimization Status: 2 scenario cost: 85039.168453201753436587750911712646484375 optimization time for scenario: 87 = 0.08277606964111328125 scenario cost: 82922.708268699978361837565898895263671875 Optimization Status: 2 scenario cost: 82922.708268699978361837565898895263671875 optimization time for scenario: 88 = 0.087193012237548828125 scenario cost: 84475.651486400398425757884979248046875 Optimization Status: 2 scenario cost: 84475.651486400398425757884979248046875 optimization time for scenario: 89 = 0.096363067626953125 scenario cost: 93336.017470270526246167719364166259765625 Optimization Status: 2 scenario cost: 93336.017470270526246167719364166259765625 optimization time for scenario: 90 = 0.1005470752716064453125 scenario cost: 91162.16879924709792248904705047607421875 Optimization Status: 2 scenario cost: 91162.16879924709792248904705047607421875 optimization time for scenario: 91 = 0.0842578411102294921875 scenario cost: 90384.04118744097650051116943359375 Optimization Status: 2 scenario cost: 90384.04118744097650051116943359375 optimization time for scenario: 92 = 0.0474970340728759765625 scenario cost: 105913.997422137574176304042339324951171875 Optimization Status: 2 scenario cost: 105913.997422137574176304042339324951171875 optimization time for scenario: 93 = 0.0470638275146484375 scenario cost: 94990.196447025271481834352016448974609375 Optimization Status: 2 scenario cost: 94990.196447025271481834352016448974609375 optimization time for scenario: 94 = 0.0500891208648681640625 scenario cost: 93148.327385617114487104117870330810546875 Optimization Status: 2 scenario cost: 93148.327385617114487104117870330810546875 optimization time for scenario: 95 = 0.04568195343017578125 scenario cost: 86767.34196162832085974514484405517578125 Optimization Status: 2 scenario cost: 86767.34196162832085974514484405517578125 optimization time for scenario: 96 = 0.0458920001983642578125 scenario cost: 92561.882093609499861486256122589111328125 Optimization Status: 2 scenario cost: 92561.882093609499861486256122589111328125 optimization time for scenario: 97 = 0.0455100536346435546875 scenario cost: 95872.15981327861663885414600372314453125 Optimization Status: 2 scenario cost: 95872.15981327861663885414600372314453125 optimization time for scenario: 98 = 0.0365908145904541015625 scenario cost: 97000.955160480109043419361114501953125 Optimization Status: 2 scenario cost: 97000.955160480109043419361114501953125 optimization time for scenario: 99 = 0.02964115142822265625 Sending cuts of back to the stg 1 solver Objective Value 15363.037180765810262528248131275177001953125 memory usage: 112222744 received node: gen cut: Rental Cost 0 scenario cost: 91375.684775963760330341756343841552734375 Optimization Status: 2 scenario cost: 91375.684775963760330341756343841552734375 optimization time for scenario: 20 = 0.10095691680908203125 scenario cost: 81023.34795054537244141101837158203125 Optimization Status: 2 scenario cost: 81023.34795054537244141101837158203125 optimization time for scenario: 21 = 0.10455989837646484375 scenario cost: 81422.744119193914229981601238250732421875 Optimization Status: 2 scenario cost: 81422.744119193914229981601238250732421875 optimization time for scenario: 22 = 0.1076829433441162109375 scenario cost: 90065.685565897045307792723178863525390625 Optimization Status: 2 scenario cost: 90065.685565897045307792723178863525390625 optimization time for scenario: 23 = 0.105825901031494140625 scenario cost: 75131.204269735942943952977657318115234375 Optimization Status: 2 scenario cost: 75131.204269735942943952977657318115234375 optimization time for scenario: 24 = 0.1085498332977294921875 scenario cost: 91245.3482013434986583888530731201171875 Optimization Status: 2 scenario cost: 91245.3482013434986583888530731201171875 optimization time for scenario: 25 = 0.1028149127960205078125 scenario cost: 81174.2890710834763012826442718505859375 Optimization Status: 2 scenario cost: 81174.2890710834763012826442718505859375 optimization time for scenario: 26 = 0.0739071369171142578125 scenario cost: 84417.339041702405666001141071319580078125 Optimization Status: 2 scenario cost: 84417.339041702405666001141071319580078125 optimization time for scenario: 27 = 0.05084896087646484375 scenario cost: 96527.621004443688434548676013946533203125 Optimization Status: 2 scenario cost: 96527.621004443688434548676013946533203125 optimization time for scenario: 28 = 0.052546977996826171875 scenario cost: 87542.68581866766908206045627593994140625 Optimization Status: 2 scenario cost: 87542.68581866766908206045627593994140625 optimization time for scenario: 29 = 0.0562648773193359375 scenario cost: 115791.503541388548910617828369140625 Optimization Status: 2 scenario cost: 115791.503541388548910617828369140625 optimization time for scenario: 30 = 0.0660698413848876953125 scenario cost: 93109.7999997217557393014430999755859375 Optimization Status: 2 scenario cost: 93109.7999997217557393014430999755859375 optimization time for scenario: 31 = 0.112450122833251953125 scenario cost: 105100.335902864768286235630512237548828125 Optimization Status: 2 scenario cost: 105100.335902864768286235630512237548828125 optimization time for scenario: 32 = 0.090465068817138671875 scenario cost: 100024.293758706771768629550933837890625 Optimization Status: 2 scenario cost: 100024.293758706771768629550933837890625 optimization time for scenario: 33 = 0.1060810089111328125 scenario cost: 100831.724131362789194099605083465576171875 Optimization Status: 2 scenario cost: 100831.724131362789194099605083465576171875 optimization time for scenario: 34 = 0.099155902862548828125 scenario cost: 93853.17840112539124675095081329345703125 Optimization Status: 2 scenario cost: 93853.17840112539124675095081329345703125 optimization time for scenario: 35 = 0.080646038055419921875 scenario cost: 79130.83922143213567323982715606689453125 Optimization Status: 2 scenario cost: 79130.83922143213567323982715606689453125 optimization time for scenario: 36 = 0.057219028472900390625 scenario cost: 88473.877838569125742651522159576416015625 Optimization Status: 2 scenario cost: 88473.877838569125742651522159576416015625 optimization time for scenario: 37 = 0.0549600124359130859375 scenario cost: 97295.1128454194404184818267822265625 Optimization Status: 2 scenario cost: 97295.1128454194404184818267822265625 optimization time for scenario: 38 = 0.0356748104095458984375 scenario cost: 86922.337147903032018803060054779052734375 Optimization Status: 2 scenario cost: 86922.337147903032018803060054779052734375 optimization time for scenario: 39 = 0.029964923858642578125 Sending cuts of back to the stg 1 solver Objective Value 15170.430589760502698482014238834381103515625 memory usage: 112224264 received node: gen cut: Rental Cost 0 scenario cost: 82598.5941843569162301719188690185546875 Optimization Status: 2 scenario cost: 82598.5941843569162301719188690185546875 optimization time for scenario: 0 = 0.0441858768463134765625 scenario cost: 90455.959135109340422786772251129150390625 Optimization Status: 2 scenario cost: 90455.959135109340422786772251129150390625 optimization time for scenario: 1 = 0.0451428890228271484375 scenario cost: 94771.962043900406570173799991607666015625 Optimization Status: 2 scenario cost: 94771.962043900406570173799991607666015625 optimization time for scenario: 2 = 0.048225879669189453125 scenario cost: 94559.77049637548043392598628997802734375 Optimization Status: 2 scenario cost: 94559.77049637548043392598628997802734375 optimization time for scenario: 3 = 0.043838024139404296875 scenario cost: 100615.538597585938987322151660919189453125 Optimization Status: 2 scenario cost: 100615.538597585938987322151660919189453125 optimization time for scenario: 4 = 0.0460059642791748046875 scenario cost: 104713.488096706438227556645870208740234375 Optimization Status: 2 scenario cost: 104713.488096706438227556645870208740234375 optimization time for scenario: 5 = 0.0443131923675537109375 scenario cost: 90688.911796448301174677908420562744140625 Optimization Status: 2 scenario cost: 90688.911796448301174677908420562744140625 optimization time for scenario: 6 = 0.0482871532440185546875 scenario cost: 91078.394825197974569164216518402099609375 Optimization Status: 2 scenario cost: 91078.394825197974569164216518402099609375 optimization time for scenario: 7 = 0.0444390773773193359375 scenario cost: 83075.341253305334248580038547515869140625 Optimization Status: 2 scenario cost: 83075.341253305334248580038547515869140625 optimization time for scenario: 8 = 0.04722690582275390625 scenario cost: 101496.79232095545739866793155670166015625 Optimization Status: 2 scenario cost: 101496.79232095545739866793155670166015625 optimization time for scenario: 9 = 0.0458300113677978515625 scenario cost: 91876.46612617638311348855495452880859375 Optimization Status: 2 scenario cost: 91876.46612617638311348855495452880859375 optimization time for scenario: 10 = 0.0439298152923583984375 scenario cost: 76363.628694744853419251739978790283203125 Optimization Status: 2 scenario cost: 76363.628694744853419251739978790283203125 optimization time for scenario: 11 = 0.0455100536346435546875 scenario cost: 97015.95430127347935922443866729736328125 Optimization Status: 2 scenario cost: 97015.95430127347935922443866729736328125 optimization time for scenario: 12 = 0.047315120697021484375 scenario cost: 93724.079039231161004863679409027099609375 Optimization Status: 2 scenario cost: 93724.079039231161004863679409027099609375 optimization time for scenario: 13 = 0.04732990264892578125 scenario cost: 93148.900185910766595043241977691650390625 Optimization Status: 2 scenario cost: 93148.900185910766595043241977691650390625 optimization time for scenario: 14 = 0.04596996307373046875 scenario cost: 105555.950815074247657321393489837646484375 Optimization Status: 2 scenario cost: 105555.950815074247657321393489837646484375 optimization time for scenario: 15 = 0.055346012115478515625 scenario cost: 90327.2354926983243785798549652099609375 Optimization Status: 2 scenario cost: 90327.2354926983243785798549652099609375 optimization time for scenario: 16 = 0.09531497955322265625 scenario cost: 87483.2450140182045288383960723876953125 Optimization Status: 2 scenario cost: 87483.2450140182045288383960723876953125 optimization time for scenario: 17 = 0.0971810817718505859375 scenario cost: 107084.56706420122645795345306396484375 Optimization Status: 2 scenario cost: 107084.56706420122645795345306396484375 optimization time for scenario: 18 = 0.08711910247802734375 scenario cost: 92200.821175120145198889076709747314453125 Optimization Status: 2 scenario cost: 92200.821175120145198889076709747314453125 optimization time for scenario: 19 = 0.104303836822509765625 Sending cuts of back to the stg 1 solver Objective Value 15573.567710966564845875836908817291259765625 memory usage: 112225784 received node: gen cut: Rental Cost 0 scenario cost: 100250.199816453226958401501178741455078125 Optimization Status: 2 scenario cost: 100250.199816453226958401501178741455078125 optimization time for scenario: 60 = 0.0547988414764404296875 scenario cost: 83481.34297487317235209047794342041015625 Optimization Status: 2 scenario cost: 83481.34297487317235209047794342041015625 optimization time for scenario: 61 = 0.056931972503662109375 scenario cost: 85355.166350368992425501346588134765625 Optimization Status: 2 scenario cost: 85355.166350368992425501346588134765625 optimization time for scenario: 62 = 0.0576360225677490234375 scenario cost: 85914.02690406286274082958698272705078125 Optimization Status: 2 scenario cost: 85914.02690406286274082958698272705078125 optimization time for scenario: 63 = 0.0585830211639404296875 scenario cost: 100821.289187196132843382656574249267578125 Optimization Status: 2 scenario cost: 100821.289187196132843382656574249267578125 optimization time for scenario: 64 = 0.0564620494842529296875 scenario cost: 102016.671129289912641979753971099853515625 Optimization Status: 2 scenario cost: 102016.671129289912641979753971099853515625 optimization time for scenario: 65 = 0.05492305755615234375 scenario cost: 93335.276955309338518418371677398681640625 Optimization Status: 2 scenario cost: 93335.276955309338518418371677398681640625 optimization time for scenario: 66 = 0.056850910186767578125 scenario cost: 86412.741915334234363399446010589599609375 Optimization Status: 2 scenario cost: 86412.741915334234363399446010589599609375 optimization time for scenario: 67 = 0.0535180568695068359375 scenario cost: 86611.986976547646918334066867828369140625 Optimization Status: 2 scenario cost: 86611.986976547646918334066867828369140625 optimization time for scenario: 68 = 0.0586659908294677734375 scenario cost: 90505.284409440020681358873844146728515625 Optimization Status: 2 scenario cost: 90505.284409440020681358873844146728515625 optimization time for scenario: 69 = 0.058560848236083984375 scenario cost: 83094.357875528527074493467807769775390625 Optimization Status: 2 scenario cost: 83094.357875528527074493467807769775390625 optimization time for scenario: 70 = 0.0576970577239990234375 scenario cost: 105512.4169331542216241359710693359375 Optimization Status: 2 scenario cost: 105512.4169331542216241359710693359375 optimization time for scenario: 71 = 0.05597400665283203125 scenario cost: 99976.22425056659267283976078033447265625 Optimization Status: 2 scenario cost: 99976.22425056659267283976078033447265625 optimization time for scenario: 72 = 0.0586440563201904296875 scenario cost: 100765.9860169580788351595401763916015625 Optimization Status: 2 scenario cost: 100765.9860169580788351595401763916015625 optimization time for scenario: 73 = 0.05500698089599609375 scenario cost: 86997.812815049328492023050785064697265625 Optimization Status: 2 scenario cost: 86997.812815049328492023050785064697265625 optimization time for scenario: 74 = 0.055698871612548828125 scenario cost: 103935.650320864791865460574626922607421875 Optimization Status: 2 scenario cost: 103935.650320864791865460574626922607421875 optimization time for scenario: 75 = 0.05471897125244140625 scenario cost: 92508.92144944841857068240642547607421875 Optimization Status: 2 scenario cost: 92508.92144944841857068240642547607421875 optimization time for scenario: 76 = 0.0540378093719482421875 scenario cost: 94852.195112349480041302740573883056640625 Optimization Status: 2 scenario cost: 94852.195112349480041302740573883056640625 optimization time for scenario: 77 = 0.0574700832366943359375 scenario cost: 91079.626461757681681774556636810302734375 Optimization Status: 2 scenario cost: 91079.626461757681681774556636810302734375 optimization time for scenario: 78 = 0.0553300380706787109375 scenario cost: 88024.932275065380963496863842010498046875 Optimization Status: 2 scenario cost: 88024.932275065380963496863842010498046875 optimization time for scenario: 79 = 0.0577490329742431640625 Sending cuts of back to the stg 1 solver Objective Value 15512.03886934314868994988501071929931640625 memory usage: 112227304 received node: gen cut: Rental Cost 0 scenario cost: 100438.463000621195533312857151031494140625 Optimization Status: 2 scenario cost: 100438.463000621195533312857151031494140625 optimization time for scenario: 60 = 0.1285750865936279296875 scenario cost: 83395.771269792297971434891223907470703125 Optimization Status: 2 scenario cost: 83395.771269792297971434891223907470703125 optimization time for scenario: 61 = 0.1351778507232666015625 scenario cost: 85159.67169556184671819210052490234375 Optimization Status: 2 scenario cost: 85159.67169556184671819210052490234375 optimization time for scenario: 62 = 0.11770915985107421875 scenario cost: 85729.802006297963089309632778167724609375 Optimization Status: 2 scenario cost: 85729.802006297963089309632778167724609375 optimization time for scenario: 63 = 0.107906818389892578125 scenario cost: 100791.313815206623985432088375091552734375 Optimization Status: 2 scenario cost: 100791.313815206623985432088375091552734375 optimization time for scenario: 64 = 0.1179449558258056640625 scenario cost: 101922.037375419444288127124309539794921875 Optimization Status: 2 scenario cost: 101922.037375419444288127124309539794921875 optimization time for scenario: 65 = 0.1168129444122314453125 scenario cost: 93196.301712306376430206000804901123046875 Optimization Status: 2 scenario cost: 93196.301712306376430206000804901123046875 optimization time for scenario: 66 = 0.11106395721435546875 scenario cost: 86262.759185399438138119876384735107421875 Optimization Status: 2 scenario cost: 86262.759185399438138119876384735107421875 optimization time for scenario: 67 = 0.115869045257568359375 scenario cost: 86450.866711875234614126384258270263671875 Optimization Status: 2 scenario cost: 86450.866711875234614126384258270263671875 optimization time for scenario: 68 = 0.1112248897552490234375 scenario cost: 90497.040160543998354114592075347900390625 Optimization Status: 2 scenario cost: 90497.040160543998354114592075347900390625 optimization time for scenario: 69 = 0.1130979061126708984375 scenario cost: 82642.82972012381651438772678375244140625 Optimization Status: 2 scenario cost: 82642.82972012381651438772678375244140625 optimization time for scenario: 70 = 0.1250650882720947265625 scenario cost: 105408.869069467691588215529918670654296875 Optimization Status: 2 scenario cost: 105408.869069467691588215529918670654296875 optimization time for scenario: 71 = 0.07685089111328125 scenario cost: 99864.315333869264577515423297882080078125 Optimization Status: 2 scenario cost: 99864.315333869264577515423297882080078125 optimization time for scenario: 72 = 0.0560810565948486328125 scenario cost: 100531.60713916807435452938079833984375 Optimization Status: 2 scenario cost: 100531.60713916807435452938079833984375 optimization time for scenario: 73 = 0.05702686309814453125 scenario cost: 86890.47912035739864222705364227294921875 Optimization Status: 2 scenario cost: 86890.47912035739864222705364227294921875 optimization time for scenario: 74 = 0.0550048351287841796875 scenario cost: 103781.51344568424974568188190460205078125 Optimization Status: 2 scenario cost: 103781.51344568424974568188190460205078125 optimization time for scenario: 75 = 0.0328800678253173828125 scenario cost: 92262.14915534740430302917957305908203125 Optimization Status: 2 scenario cost: 92262.14915534740430302917957305908203125 optimization time for scenario: 76 = 0.038401126861572265625 scenario cost: 94747.104657768315519206225872039794921875 Optimization Status: 2 scenario cost: 94747.104657768315519206225872039794921875 optimization time for scenario: 77 = 0.0312111377716064453125 scenario cost: 90955.0826641213498078286647796630859375 Optimization Status: 2 scenario cost: 90955.0826641213498078286647796630859375 optimization time for scenario: 78 = 0.034039020538330078125 scenario cost: 87908.259642346369219012558460235595703125 Optimization Status: 2 scenario cost: 87908.259642346369219012558460235595703125 optimization time for scenario: 79 = 0.0310571193695068359375 Sending cuts of back to the stg 1 solver Objective Value 15490.2400128027584287337958812713623046875 memory usage: 112228824 received node: gen cut: Rental Cost 0 scenario cost: 96937.643874180692364461719989776611328125 Optimization Status: 2 scenario cost: 96937.643874180692364461719989776611328125 optimization time for scenario: 100 = 0.05871295928955078125 scenario cost: 101825.61257143746479414403438568115234375 Optimization Status: 2 scenario cost: 101825.61257143746479414403438568115234375 optimization time for scenario: 101 = 0.055384159088134765625 scenario cost: 81787.04567906470037996768951416015625 Optimization Status: 2 scenario cost: 81787.04567906470037996768951416015625 optimization time for scenario: 102 = 0.1144969463348388671875 scenario cost: 88691.874073959144880063831806182861328125 Optimization Status: 2 scenario cost: 88691.874073959144880063831806182861328125 optimization time for scenario: 103 = 0.130383014678955078125 scenario cost: 85685.045374552821158431470394134521484375 Optimization Status: 2 scenario cost: 85685.045374552821158431470394134521484375 optimization time for scenario: 104 = 0.105473995208740234375 scenario cost: 95953.910506634550984017550945281982421875 Optimization Status: 2 scenario cost: 95953.910506634550984017550945281982421875 optimization time for scenario: 105 = 0.0971000194549560546875 scenario cost: 78198.094371899831457994878292083740234375 Optimization Status: 2 scenario cost: 78198.094371899831457994878292083740234375 optimization time for scenario: 106 = 0.049900054931640625 scenario cost: 92516.496143894197302870452404022216796875 Optimization Status: 2 scenario cost: 92516.496143894197302870452404022216796875 optimization time for scenario: 107 = 0.053269863128662109375 scenario cost: 105860.9753965684794820845127105712890625 Optimization Status: 2 scenario cost: 105860.9753965684794820845127105712890625 optimization time for scenario: 108 = 0.05136394500732421875 scenario cost: 92232.55978029008838348090648651123046875 Optimization Status: 2 scenario cost: 92232.55978029008838348090648651123046875 optimization time for scenario: 109 = 0.052237033843994140625 scenario cost: 88860.895378044937388040125370025634765625 Optimization Status: 2 scenario cost: 88860.895378044937388040125370025634765625 optimization time for scenario: 110 = 0.048892974853515625 scenario cost: 91276.49671870362362824380397796630859375 Optimization Status: 2 scenario cost: 91276.49671870362362824380397796630859375 optimization time for scenario: 111 = 0.0486600399017333984375 scenario cost: 84156.30857452287455089390277862548828125 Optimization Status: 2 scenario cost: 84156.30857452287455089390277862548828125 optimization time for scenario: 112 = 0.0537860393524169921875 scenario cost: 97216.88176633763941936194896697998046875 Optimization Status: 2 scenario cost: 97216.88176633763941936194896697998046875 optimization time for scenario: 113 = 0.052322864532470703125 scenario cost: 81724.882725195711827836930751800537109375 Optimization Status: 2 scenario cost: 81724.882725195711827836930751800537109375 optimization time for scenario: 114 = 0.0486919879913330078125 scenario cost: 85057.7032529790885746479034423828125 Optimization Status: 2 scenario cost: 85057.7032529790885746479034423828125 optimization time for scenario: 115 = 0.0498659610748291015625 scenario cost: 91677.3628230447066016495227813720703125 Optimization Status: 2 scenario cost: 91677.3628230447066016495227813720703125 optimization time for scenario: 116 = 0.053780078887939453125 scenario cost: 86761.24615918946801684796810150146484375 Optimization Status: 2 scenario cost: 86761.24615918946801684796810150146484375 optimization time for scenario: 117 = 0.052672863006591796875 scenario cost: 85547.2628846325096674263477325439453125 Optimization Status: 2 scenario cost: 85547.2628846325096674263477325439453125 optimization time for scenario: 118 = 0.0530908107757568359375 scenario cost: 83586.04281796989380382001399993896484375 Optimization Status: 2 scenario cost: 83586.04281796989380382001399993896484375 optimization time for scenario: 119 = 0.0694921016693115234375 Sending cuts of back to the stg 1 solver Objective Value 14962.8929887978229089640080928802490234375 memory usage: 112230344 received node: gen cut: Rental Cost 0 scenario cost: 89833.470336493497597984969615936279296875 Optimization Status: 2 scenario cost: 89833.470336493497597984969615936279296875 optimization time for scenario: 20 = 0.048656940460205078125 scenario cost: 79473.334763425053097307682037353515625 Optimization Status: 2 scenario cost: 79473.334763425053097307682037353515625 optimization time for scenario: 21 = 0.048839092254638671875 scenario cost: 78837.880704148949007503688335418701171875 Optimization Status: 2 scenario cost: 78837.880704148949007503688335418701171875 optimization time for scenario: 22 = 0.0474331378936767578125 scenario cost: 87761.203113491399562917649745941162109375 Optimization Status: 2 scenario cost: 87761.203113491399562917649745941162109375 optimization time for scenario: 23 = 0.0458362102508544921875 scenario cost: 72210.9737943451036699116230010986328125 Optimization Status: 2 scenario cost: 72210.9737943451036699116230010986328125 optimization time for scenario: 24 = 0.051107883453369140625 scenario cost: 89873.147635179499047808349132537841796875 Optimization Status: 2 scenario cost: 89873.147635179499047808349132537841796875 optimization time for scenario: 25 = 0.049603939056396484375 scenario cost: 78746.993861820184974931180477142333984375 Optimization Status: 2 scenario cost: 78746.993861820184974931180477142333984375 optimization time for scenario: 26 = 0.0490138530731201171875 scenario cost: 82947.25544841037481091916561126708984375 Optimization Status: 2 scenario cost: 82947.25544841037481091916561126708984375 optimization time for scenario: 27 = 0.049892902374267578125 scenario cost: 95013.09883394421194680035114288330078125 Optimization Status: 2 scenario cost: 95013.09883394421194680035114288330078125 optimization time for scenario: 28 = 0.0480220317840576171875 scenario cost: 86261.99618307486525736749172210693359375 Optimization Status: 2 scenario cost: 86261.99618307486525736749172210693359375 optimization time for scenario: 29 = 0.046939849853515625 scenario cost: 115519.106449543978669680655002593994140625 Optimization Status: 2 scenario cost: 115519.106449543978669680655002593994140625 optimization time for scenario: 30 = 0.093248844146728515625 scenario cost: 92283.043370804123696871101856231689453125 Optimization Status: 2 scenario cost: 92283.043370804123696871101856231689453125 optimization time for scenario: 31 = 0.084095001220703125 scenario cost: 104797.98025023032096214592456817626953125 Optimization Status: 2 scenario cost: 104797.98025023032096214592456817626953125 optimization time for scenario: 32 = 0.097094058990478515625 scenario cost: 98471.98251882751355879008769989013671875 Optimization Status: 2 scenario cost: 98471.98251882751355879008769989013671875 optimization time for scenario: 33 = 0.0961468219757080078125 scenario cost: 100370.5914415609440766274929046630859375 Optimization Status: 2 scenario cost: 100370.5914415609440766274929046630859375 optimization time for scenario: 34 = 0.09498500823974609375 scenario cost: 92490.650231221035937778651714324951171875 Optimization Status: 2 scenario cost: 92490.650231221035937778651714324951171875 optimization time for scenario: 35 = 0.09891414642333984375 scenario cost: 77976.4510773128713481128215789794921875 Optimization Status: 2 scenario cost: 77976.4510773128713481128215789794921875 optimization time for scenario: 36 = 0.0978400707244873046875 scenario cost: 87093.324177420421619899570941925048828125 Optimization Status: 2 scenario cost: 87093.324177420421619899570941925048828125 optimization time for scenario: 37 = 0.0952789783477783203125 scenario cost: 95914.966777832203661091625690460205078125 Optimization Status: 2 scenario cost: 95914.966777832203661091625690460205078125 optimization time for scenario: 38 = 0.0620009899139404296875 scenario cost: 85508.84633461516932584345340728759765625 Optimization Status: 2 scenario cost: 85508.84633461516932584345340728759765625 optimization time for scenario: 39 = 0.0479362010955810546875 Sending cuts of back to the stg 1 solver Objective Value 14928.159431320937073905952274799346923828125 memory usage: 112231864 received node: gen cut: Rental Cost 0 scenario cost: 75598.374917842724244110286235809326171875 Optimization Status: 2 scenario cost: 75598.374917842724244110286235809326171875 optimization time for scenario: 0 = 0.1078588962554931640625 scenario cost: 80269.796327777599799446761608123779296875 Optimization Status: 2 scenario cost: 80269.796327777599799446761608123779296875 optimization time for scenario: 1 = 0.0780761241912841796875 scenario cost: 84755.513195821506087668240070343017578125 Optimization Status: 2 scenario cost: 84755.513195821506087668240070343017578125 optimization time for scenario: 2 = 0.04949283599853515625 scenario cost: 84914.817753854396869428455829620361328125 Optimization Status: 2 scenario cost: 84914.817753854396869428455829620361328125 optimization time for scenario: 3 = 0.045590877532958984375 scenario cost: 91361.488769762581796385347843170166015625 Optimization Status: 2 scenario cost: 91361.488769762581796385347843170166015625 optimization time for scenario: 4 = 0.0482590198516845703125 scenario cost: 95568.92998467080178670585155487060546875 Optimization Status: 2 scenario cost: 95568.92998467080178670585155487060546875 optimization time for scenario: 5 = 0.0499379634857177734375 scenario cost: 82308.53548598298220895230770111083984375 Optimization Status: 2 scenario cost: 82308.53548598298220895230770111083984375 optimization time for scenario: 6 = 0.050736904144287109375 scenario cost: 82734.3817875978420488536357879638671875 Optimization Status: 2 scenario cost: 82734.3817875978420488536357879638671875 optimization time for scenario: 7 = 0.0572528839111328125 scenario cost: 75462.583553909746115095913410186767578125 Optimization Status: 2 scenario cost: 75462.583553909746115095913410186767578125 optimization time for scenario: 8 = 0.0527150630950927734375 scenario cost: 91645.22682891381555236876010894775390625 Optimization Status: 2 scenario cost: 91645.22682891381555236876010894775390625 optimization time for scenario: 9 = 0.0534307956695556640625 scenario cost: 82215.40820135339163243770599365234375 Optimization Status: 2 scenario cost: 82215.40820135339163243770599365234375 optimization time for scenario: 10 = 0.054871082305908203125 scenario cost: 69919.090804592284257523715496063232421875 Optimization Status: 2 scenario cost: 69919.090804592284257523715496063232421875 optimization time for scenario: 11 = 0.054541110992431640625 scenario cost: 85771.073204247877583838999271392822265625 Optimization Status: 2 scenario cost: 85771.073204247877583838999271392822265625 optimization time for scenario: 12 = 0.051908969879150390625 scenario cost: 81953.78002392899361439049243927001953125 Optimization Status: 2 scenario cost: 81953.78002392899361439049243927001953125 optimization time for scenario: 13 = 0.051658153533935546875 scenario cost: 81876.89651178274652920663356781005859375 Optimization Status: 2 scenario cost: 81876.89651178274652920663356781005859375 optimization time for scenario: 14 = 0.052917003631591796875 scenario cost: 96705.687499447652953676879405975341796875 Optimization Status: 2 scenario cost: 96705.687499447652953676879405975341796875 optimization time for scenario: 15 = 0.1113030910491943359375 scenario cost: 80082.85213162415311671793460845947265625 Optimization Status: 2 scenario cost: 80082.85213162415311671793460845947265625 optimization time for scenario: 16 = 0.0969560146331787109375 scenario cost: 77596.909003027496510185301303863525390625 Optimization Status: 2 scenario cost: 77596.909003027496510185301303863525390625 optimization time for scenario: 17 = 0.08619213104248046875 scenario cost: 97665.442948532188893295824527740478515625 Optimization Status: 2 scenario cost: 97665.442948532188893295824527740478515625 optimization time for scenario: 18 = 0.0944039821624755859375 scenario cost: 83139.256429253247915767133235931396484375 Optimization Status: 2 scenario cost: 83139.256429253247915767133235931396484375 optimization time for scenario: 19 = 0.0836570262908935546875 Sending cuts of back to the stg 1 solver Objective Value 14012.82765983118952135555446147918701171875 memory usage: 112233384 received node: gen cut: Rental Cost 0 scenario cost: 94021.783050287791411392390727996826171875 Optimization Status: 2 scenario cost: 94021.783050287791411392390727996826171875 optimization time for scenario: 100 = 0.049561977386474609375 scenario cost: 98807.966782738803885877132415771484375 Optimization Status: 2 scenario cost: 98807.966782738803885877132415771484375 optimization time for scenario: 101 = 0.0860159397125244140625 scenario cost: 79012.359582186516490764915943145751953125 Optimization Status: 2 scenario cost: 79012.359582186516490764915943145751953125 optimization time for scenario: 102 = 0.0957729816436767578125 scenario cost: 85533.612071581635973416268825531005859375 Optimization Status: 2 scenario cost: 85533.612071581635973416268825531005859375 optimization time for scenario: 103 = 0.0880320072174072265625 scenario cost: 82154.324441588731133379042148590087890625 Optimization Status: 2 scenario cost: 82154.324441588731133379042148590087890625 optimization time for scenario: 104 = 0.0989658832550048828125 scenario cost: 93135.96116562956012785434722900390625 Optimization Status: 2 scenario cost: 93135.96116562956012785434722900390625 optimization time for scenario: 105 = 0.1005859375 scenario cost: 75004.817300465088919736444950103759765625 Optimization Status: 2 scenario cost: 75004.817300465088919736444950103759765625 optimization time for scenario: 106 = 0.0995981693267822265625 scenario cost: 89668.98646585413371212780475616455078125 Optimization Status: 2 scenario cost: 89668.98646585413371212780475616455078125 optimization time for scenario: 107 = 0.0477859973907470703125 scenario cost: 102680.7035954688326455652713775634765625 Optimization Status: 2 scenario cost: 102680.7035954688326455652713775634765625 optimization time for scenario: 108 = 0.0473129749298095703125 scenario cost: 88699.377862127599655650556087493896484375 Optimization Status: 2 scenario cost: 88699.377862127599655650556087493896484375 optimization time for scenario: 109 = 0.0717761516571044921875 scenario cost: 86122.28768805437721312046051025390625 Optimization Status: 2 scenario cost: 86122.28768805437721312046051025390625 optimization time for scenario: 110 = 0.0970327854156494140625 scenario cost: 88044.412545260434853844344615936279296875 Optimization Status: 2 scenario cost: 88044.412545260434853844344615936279296875 optimization time for scenario: 111 = 0.0993459224700927734375 scenario cost: 81200.421511679844115860760211944580078125 Optimization Status: 2 scenario cost: 81200.421511679844115860760211944580078125 optimization time for scenario: 112 = 0.09669208526611328125 scenario cost: 94011.268849412284907884895801544189453125 Optimization Status: 2 scenario cost: 94011.268849412284907884895801544189453125 optimization time for scenario: 113 = 0.099604129791259765625 scenario cost: 78795.091815872568986378610134124755859375 Optimization Status: 2 scenario cost: 78795.091815872568986378610134124755859375 optimization time for scenario: 114 = 0.083158969879150390625 scenario cost: 82208.16870851736166514456272125244140625 Optimization Status: 2 scenario cost: 82208.16870851736166514456272125244140625 optimization time for scenario: 115 = 0.0633680820465087890625 scenario cost: 88588.362770155319594778120517730712890625 Optimization Status: 2 scenario cost: 88588.362770155319594778120517730712890625 optimization time for scenario: 116 = 0.0494410991668701171875 scenario cost: 83875.4386995297973044216632843017578125 Optimization Status: 2 scenario cost: 83875.4386995297973044216632843017578125 optimization time for scenario: 117 = 0.0469930171966552734375 scenario cost: 82424.58075248365639708936214447021484375 Optimization Status: 2 scenario cost: 82424.58075248365639708936214447021484375 optimization time for scenario: 118 = 0.047297000885009765625 scenario cost: 80410.187735609812079928815364837646484375 Optimization Status: 2 scenario cost: 80410.187735609812079928815364837646484375 optimization time for scenario: 119 = 0.0346620082855224609375 Sending cuts of back to the stg 1 solver Objective Value 14453.276464950418812804855406284332275390625 memory usage: 112234904 received node: gen cut: Rental Cost 0 scenario cost: 77178.7930427356623113155364990234375 Optimization Status: 2 scenario cost: 77178.7930427356623113155364990234375 optimization time for scenario: 0 = 0.0452749729156494140625 scenario cost: 82577.7340403462876565754413604736328125 Optimization Status: 2 scenario cost: 82577.7340403462876565754413604736328125 optimization time for scenario: 1 = 0.045361995697021484375 scenario cost: 87186.132345131554757244884967803955078125 Optimization Status: 2 scenario cost: 87186.132345131554757244884967803955078125 optimization time for scenario: 2 = 0.0499188899993896484375 scenario cost: 87637.48268937747343443334102630615234375 Optimization Status: 2 scenario cost: 87637.48268937747343443334102630615234375 optimization time for scenario: 3 = 0.0446450710296630859375 scenario cost: 93971.99443393546971492469310760498046875 Optimization Status: 2 scenario cost: 93971.99443393546971492469310760498046875 optimization time for scenario: 4 = 0.0464608669281005859375 scenario cost: 97749.1139970507356338202953338623046875 Optimization Status: 2 scenario cost: 97749.1139970507356338202953338623046875 optimization time for scenario: 5 = 0.0483810901641845703125 scenario cost: 84099.91950185821042396128177642822265625 Optimization Status: 2 scenario cost: 84099.91950185821042396128177642822265625 optimization time for scenario: 6 = 0.078669071197509765625 scenario cost: 84677.445447683057864196598529815673828125 Optimization Status: 2 scenario cost: 84677.445447683057864196598529815673828125 optimization time for scenario: 7 = 0.118732929229736328125 scenario cost: 77008.629596440703608095645904541015625 Optimization Status: 2 scenario cost: 77008.629596440703608095645904541015625 optimization time for scenario: 8 = 0.095553874969482421875 scenario cost: 94362.5468215398141182959079742431640625 Optimization Status: 2 scenario cost: 94362.5468215398141182959079742431640625 optimization time for scenario: 9 = 0.0977509021759033203125 scenario cost: 84776.958060427685268223285675048828125 Optimization Status: 2 scenario cost: 84776.958060427685268223285675048828125 optimization time for scenario: 10 = 0.0961968898773193359375 scenario cost: 71512.46336344865267165005207061767578125 Optimization Status: 2 scenario cost: 71512.46336344865267165005207061767578125 optimization time for scenario: 11 = 0.0956249237060546875 scenario cost: 88278.3828181102289818227291107177734375 Optimization Status: 2 scenario cost: 88278.3828181102289818227291107177734375 optimization time for scenario: 12 = 0.0813808441162109375 scenario cost: 84525.341189596685580909252166748046875 Optimization Status: 2 scenario cost: 84525.341189596685580909252166748046875 optimization time for scenario: 13 = 0.0685670375823974609375 scenario cost: 84027.894201359697035513818264007568359375 Optimization Status: 2 scenario cost: 84027.894201359697035513818264007568359375 optimization time for scenario: 14 = 0.0478241443634033203125 scenario cost: 99040.0363802276551723480224609375 Optimization Status: 2 scenario cost: 99040.0363802276551723480224609375 optimization time for scenario: 15 = 0.0441219806671142578125 scenario cost: 82470.142744874479831196367740631103515625 Optimization Status: 2 scenario cost: 82470.142744874479831196367740631103515625 optimization time for scenario: 16 = 0.04553508758544921875 scenario cost: 79883.47491895456914789974689483642578125 Optimization Status: 2 scenario cost: 79883.47491895456914789974689483642578125 optimization time for scenario: 17 = 0.0489089488983154296875 scenario cost: 100033.954895902323187328875064849853515625 Optimization Status: 2 scenario cost: 100033.954895902323187328875064849853515625 optimization time for scenario: 18 = 0.04535388946533203125 scenario cost: 85425.205231487969285808503627777099609375 Optimization Status: 2 scenario cost: 85425.205231487969285808503627777099609375 optimization time for scenario: 19 = 0.0603020191192626953125 Sending cuts of back to the stg 1 solver Objective Value 14386.806166882553952746093273162841796875 memory usage: 112236424 received node: gen cut: Rental Cost 0 scenario cost: 82847.111608124760095961391925811767578125 Optimization Status: 2 scenario cost: 82847.111608124760095961391925811767578125 optimization time for scenario: 80 = 0.098888874053955078125 scenario cost: 99257.64743359410203993320465087890625 Optimization Status: 2 scenario cost: 99257.64743359410203993320465087890625 optimization time for scenario: 81 = 0.08623600006103515625 scenario cost: 78816.35441474142135120928287506103515625 Optimization Status: 2 scenario cost: 78816.35441474142135120928287506103515625 optimization time for scenario: 82 = 0.1131761074066162109375 scenario cost: 91663.879341011008364148437976837158203125 Optimization Status: 2 scenario cost: 91663.879341011008364148437976837158203125 optimization time for scenario: 83 = 0.0967519283294677734375 scenario cost: 84356.74871140372124500572681427001953125 Optimization Status: 2 scenario cost: 84356.74871140372124500572681427001953125 optimization time for scenario: 84 = 0.106606006622314453125 scenario cost: 88829.576488306003739126026630401611328125 Optimization Status: 2 scenario cost: 88829.576488306003739126026630401611328125 optimization time for scenario: 85 = 0.0995109081268310546875 scenario cost: 96752.76907516762730665504932403564453125 Optimization Status: 2 scenario cost: 96752.76907516762730665504932403564453125 optimization time for scenario: 86 = 0.1142940521240234375 scenario cost: 81744.0216702201287262141704559326171875 Optimization Status: 2 scenario cost: 81744.0216702201287262141704559326171875 optimization time for scenario: 87 = 0.060902118682861328125 scenario cost: 79473.520905653640511445701122283935546875 Optimization Status: 2 scenario cost: 79473.520905653640511445701122283935546875 optimization time for scenario: 88 = 0.0508491992950439453125 scenario cost: 81363.90756085191969759762287139892578125 Optimization Status: 2 scenario cost: 81363.90756085191969759762287139892578125 optimization time for scenario: 89 = 0.0509760379791259765625 scenario cost: 90436.953289344979566521942615509033203125 Optimization Status: 2 scenario cost: 90436.953289344979566521942615509033203125 optimization time for scenario: 90 = 0.0677349567413330078125 scenario cost: 87722.368831918996875174343585968017578125 Optimization Status: 2 scenario cost: 87722.368831918996875174343585968017578125 optimization time for scenario: 91 = 0.110866069793701171875 scenario cost: 86000.343094906522310338914394378662109375 Optimization Status: 2 scenario cost: 86000.343094906522310338914394378662109375 optimization time for scenario: 92 = 0.1797559261322021484375 scenario cost: 102535.25940781147801317274570465087890625 Optimization Status: 2 scenario cost: 102535.25940781147801317274570465087890625 optimization time for scenario: 93 = 0.10303497314453125 scenario cost: 91277.282747121367719955742359161376953125 Optimization Status: 2 scenario cost: 91277.282747121367719955742359161376953125 optimization time for scenario: 94 = 0.0506980419158935546875 scenario cost: 89258.72433922209893353283405303955078125 Optimization Status: 2 scenario cost: 89258.72433922209893353283405303955078125 optimization time for scenario: 95 = 0.0519011020660400390625 scenario cost: 84002.158654038401436991989612579345703125 Optimization Status: 2 scenario cost: 84002.158654038401436991989612579345703125 optimization time for scenario: 96 = 0.052133083343505859375 scenario cost: 89141.16475439691566862165927886962890625 Optimization Status: 2 scenario cost: 89141.16475439691566862165927886962890625 optimization time for scenario: 97 = 0.045114040374755859375 scenario cost: 92693.725435536689474247395992279052734375 Optimization Status: 2 scenario cost: 92693.725435536689474247395992279052734375 optimization time for scenario: 98 = 0.0446321964263916015625 scenario cost: 93156.219622513497597537934780120849609375 Optimization Status: 2 scenario cost: 93156.219622513497597537934780120849609375 optimization time for scenario: 99 = 0.0343749523162841796875 Sending cuts of back to the stg 1 solver Objective Value 14761.022100557796875364147126674652099609375 memory usage: 112237944 received node: gen cut: Rental Cost 0 scenario cost: 98949.234306692742393352091312408447265625 Optimization Status: 2 scenario cost: 98949.234306692742393352091312408447265625 optimization time for scenario: 100 = 0.05566883087158203125 scenario cost: 104079.6461812261841259896755218505859375 Optimization Status: 2 scenario cost: 104079.6461812261841259896755218505859375 optimization time for scenario: 101 = 0.052845001220703125 scenario cost: 83823.863280535835656337440013885498046875 Optimization Status: 2 scenario cost: 83823.863280535835656337440013885498046875 optimization time for scenario: 102 = 0.0533068180084228515625 scenario cost: 90781.868180898993159644305706024169921875 Optimization Status: 2 scenario cost: 90781.868180898993159644305706024169921875 optimization time for scenario: 103 = 0.1719448566436767578125 scenario cost: 87333.065117963633383624255657196044921875 Optimization Status: 2 scenario cost: 87333.065117963633383624255657196044921875 optimization time for scenario: 104 = 0.121395111083984375 scenario cost: 98836.038757733520469628274440765380859375 Optimization Status: 2 scenario cost: 98836.038757733520469628274440765380859375 optimization time for scenario: 105 = 0.12537097930908203125 scenario cost: 80155.056040163311990909278392791748046875 Optimization Status: 2 scenario cost: 80155.056040163311990909278392791748046875 optimization time for scenario: 106 = 0.11135196685791015625 scenario cost: 94912.5488220502738840878009796142578125 Optimization Status: 2 scenario cost: 94912.5488220502738840878009796142578125 optimization time for scenario: 107 = 0.096765995025634765625 scenario cost: 107983.090856534618069417774677276611328125 Optimization Status: 2 scenario cost: 107983.090856534618069417774677276611328125 optimization time for scenario: 108 = 0.0983219146728515625 scenario cost: 94000.523297314575756900012493133544921875 Optimization Status: 2 scenario cost: 94000.523297314575756900012493133544921875 optimization time for scenario: 109 = 0.0930678844451904296875 scenario cost: 91030.56210108476807363331317901611328125 Optimization Status: 2 scenario cost: 91030.56210108476807363331317901611328125 optimization time for scenario: 110 = 0.08683490753173828125 scenario cost: 93185.998206895499606616795063018798828125 Optimization Status: 2 scenario cost: 93185.998206895499606616795063018798828125 optimization time for scenario: 111 = 0.0914280414581298828125 scenario cost: 86319.7081902747158892452716827392578125 Optimization Status: 2 scenario cost: 86319.7081902747158892452716827392578125 optimization time for scenario: 112 = 0.098167896270751953125 scenario cost: 99227.37167080209474079310894012451171875 Optimization Status: 2 scenario cost: 99227.37167080209474079310894012451171875 optimization time for scenario: 113 = 0.0868899822235107421875 scenario cost: 83707.75112618991988711059093475341796875 Optimization Status: 2 scenario cost: 83707.75112618991988711059093475341796875 optimization time for scenario: 114 = 0.142353057861328125 scenario cost: 87372.721931573280016891658306121826171875 Optimization Status: 2 scenario cost: 87372.721931573280016891658306121826171875 optimization time for scenario: 115 = 0.0499401092529296875 scenario cost: 93757.5818348767352290451526641845703125 Optimization Status: 2 scenario cost: 93757.5818348767352290451526641845703125 optimization time for scenario: 116 = 0.051661014556884765625 scenario cost: 88885.452838878889451734721660614013671875 Optimization Status: 2 scenario cost: 88885.452838878889451734721660614013671875 optimization time for scenario: 117 = 0.0465929508209228515625 scenario cost: 87576.894396486808545887470245361328125 Optimization Status: 2 scenario cost: 87576.894396486808545887470245361328125 optimization time for scenario: 118 = 0.0409939289093017578125 scenario cost: 85608.6511288199690170586109161376953125 Optimization Status: 2 scenario cost: 85608.6511288199690170586109161376953125 optimization time for scenario: 119 = 0.0259668827056884765625 Sending cuts of back to the stg 1 solver Objective Value 15312.66898463736288249492645263671875 memory usage: 112239464 received node: gen cut: Rental Cost 0 scenario cost: 79880.76899318871437571942806243896484375 Optimization Status: 2 scenario cost: 79880.76899318871437571942806243896484375 optimization time for scenario: 0 = 0.06369781494140625 scenario cost: 86595.60023826072574593126773834228515625 Optimization Status: 2 scenario cost: 86595.60023826072574593126773834228515625 optimization time for scenario: 1 = 0.09755706787109375 scenario cost: 90911.33130797554622404277324676513671875 Optimization Status: 2 scenario cost: 90911.33130797554622404277324676513671875 optimization time for scenario: 2 = 0.065557956695556640625 scenario cost: 91363.3379193511791527271270751953125 Optimization Status: 2 scenario cost: 91363.3379193511791527271270751953125 optimization time for scenario: 3 = 0.0961589813232421875 scenario cost: 97837.89307851847843267023563385009765625 Optimization Status: 2 scenario cost: 97837.89307851847843267023563385009765625 optimization time for scenario: 4 = 0.113072872161865234375 scenario cost: 101644.722965960972942411899566650390625 Optimization Status: 2 scenario cost: 101644.722965960972942411899566650390625 optimization time for scenario: 5 = 0.1105182170867919921875 scenario cost: 87594.959277162866783328354358673095703125 Optimization Status: 2 scenario cost: 87594.959277162866783328354358673095703125 optimization time for scenario: 6 = 0.118052005767822265625 scenario cost: 87983.619280391940264962613582611083984375 Optimization Status: 2 scenario cost: 87983.619280391940264962613582611083984375 optimization time for scenario: 7 = 0.1159610748291015625 scenario cost: 80272.03557104672654531896114349365234375 Optimization Status: 2 scenario cost: 80272.03557104672654531896114349365234375 optimization time for scenario: 8 = 0.1155910491943359375 scenario cost: 98210.92777220104471780359745025634765625 Optimization Status: 2 scenario cost: 98210.92777220104471780359745025634765625 optimization time for scenario: 9 = 0.100450992584228515625 scenario cost: 88661.0343266939162276685237884521484375 Optimization Status: 2 scenario cost: 88661.0343266939162276685237884521484375 optimization time for scenario: 10 = 0.109199047088623046875 scenario cost: 74047.772444406597060151398181915283203125 Optimization Status: 2 scenario cost: 74047.772444406597060151398181915283203125 optimization time for scenario: 11 = 0.104832172393798828125 scenario cost: 93813.964265424889163114130496978759765625 Optimization Status: 2 scenario cost: 93813.964265424889163114130496978759765625 optimization time for scenario: 12 = 0.128367900848388671875 scenario cost: 90000.123725266079418361186981201171875 Optimization Status: 2 scenario cost: 90000.123725266079418361186981201171875 optimization time for scenario: 13 = 0.118134021759033203125 scenario cost: 88164.2918088579899631440639495849609375 Optimization Status: 2 scenario cost: 88164.2918088579899631440639495849609375 optimization time for scenario: 14 = 0.078794002532958984375 scenario cost: 102690.8809113437891937792301177978515625 Optimization Status: 2 scenario cost: 102690.8809113437891937792301177978515625 optimization time for scenario: 15 = 0.0486299991607666015625 scenario cost: 87616.27321723065688274800777435302734375 Optimization Status: 2 scenario cost: 87616.27321723065688274800777435302734375 optimization time for scenario: 16 = 0.0305278301239013671875 scenario cost: 83708.76045694711501710116863250732421875 Optimization Status: 2 scenario cost: 83708.76045694711501710116863250732421875 optimization time for scenario: 17 = 0.032168865203857421875 scenario cost: 103900.1958315360243432223796844482421875 Optimization Status: 2 scenario cost: 103900.1958315360243432223796844482421875 optimization time for scenario: 18 = 0.030622959136962890625 scenario cost: 89277.601897859261953271925449371337890625 Optimization Status: 2 scenario cost: 89277.601897859261953271925449371337890625 optimization time for scenario: 19 = 0.0312850475311279296875 Sending cuts of back to the stg 1 solver Objective Value 15034.740654877028646296821534633636474609375 memory usage: 112240984 received node: gen cut: Rental Cost 0 scenario cost: 96289.600968667888082563877105712890625 Optimization Status: 2 scenario cost: 96289.600968667888082563877105712890625 optimization time for scenario: 100 = 0.0501129627227783203125 scenario cost: 101231.209566435383749194443225860595703125 Optimization Status: 2 scenario cost: 101231.209566435383749194443225860595703125 optimization time for scenario: 101 = 0.050737857818603515625 scenario cost: 81337.276686672979849390685558319091796875 Optimization Status: 2 scenario cost: 81337.276686672979849390685558319091796875 optimization time for scenario: 102 = 0.05247783660888671875 scenario cost: 87934.680851361714303493499755859375 Optimization Status: 2 scenario cost: 87934.680851361714303493499755859375 optimization time for scenario: 103 = 0.0530350208282470703125 scenario cost: 84760.3708213610225357115268707275390625 Optimization Status: 2 scenario cost: 84760.3708213610225357115268707275390625 optimization time for scenario: 104 = 0.0534632205963134765625 scenario cost: 95470.880024968253565020859241485595703125 Optimization Status: 2 scenario cost: 95470.880024968253565020859241485595703125 optimization time for scenario: 105 = 0.11456203460693359375 scenario cost: 77437.51099606367642991244792938232421875 Optimization Status: 2 scenario cost: 77437.51099606367642991244792938232421875 optimization time for scenario: 106 = 0.099814891815185546875 scenario cost: 92095.0308205873589031398296356201171875 Optimization Status: 2 scenario cost: 92095.0308205873589031398296356201171875 optimization time for scenario: 107 = 0.089025974273681640625 scenario cost: 105100.075448529198183678090572357177734375 Optimization Status: 2 scenario cost: 105100.075448529198183678090572357177734375 optimization time for scenario: 108 = 0.050418853759765625 scenario cost: 91354.128582376128179021179676055908203125 Optimization Status: 2 scenario cost: 91354.128582376128179021179676055908203125 optimization time for scenario: 109 = 0.049133777618408203125 scenario cost: 88444.296264725169748999178409576416015625 Optimization Status: 2 scenario cost: 88444.296264725169748999178409576416015625 optimization time for scenario: 110 = 0.0649402141571044921875 scenario cost: 90657.26464972234680317342281341552734375 Optimization Status: 2 scenario cost: 90657.26464972234680317342281341552734375 optimization time for scenario: 111 = 0.0929238796234130859375 scenario cost: 83559.1615242245607078075408935546875 Optimization Status: 2 scenario cost: 83559.1615242245607078075408935546875 optimization time for scenario: 112 = 0.06259918212890625 scenario cost: 96386.26823574557784013450145721435546875 Optimization Status: 2 scenario cost: 96386.26823574557784013450145721435546875 optimization time for scenario: 113 = 0.05647182464599609375 scenario cost: 81085.621199495231849141418933868408203125 Optimization Status: 2 scenario cost: 81085.621199495231849141418933868408203125 optimization time for scenario: 114 = 0.05690097808837890625 scenario cost: 84509.56236834989977069199085235595703125 Optimization Status: 2 scenario cost: 84509.56236834989977069199085235595703125 optimization time for scenario: 115 = 0.1028521060943603515625 scenario cost: 91041.11795131993130780756473541259765625 Optimization Status: 2 scenario cost: 91041.11795131993130780756473541259765625 optimization time for scenario: 116 = 0.142217159271240234375 scenario cost: 86200.679492136070621199905872344970703125 Optimization Status: 2 scenario cost: 86200.679492136070621199905872344970703125 optimization time for scenario: 117 = 0.258100986480712890625 scenario cost: 84793.80300242305384017527103424072265625 Optimization Status: 2 scenario cost: 84793.80300242305384017527103424072265625 optimization time for scenario: 118 = 0.19215297698974609375 scenario cost: 82758.9423316640895791351795196533203125 Optimization Status: 2 scenario cost: 82758.9423316640895791351795196533203125 optimization time for scenario: 119 = 0.18572902679443359375 Sending cuts of back to the stg 1 solver Objective Value 14853.669599974187804036773741245269775390625 memory usage: 112242504 received node: gen cut: Rental Cost 0 scenario cost: 89876.43997986320755444467067718505859375 Optimization Status: 2 scenario cost: 89876.43997986320755444467067718505859375 optimization time for scenario: 20 = 0.1735489368438720703125 scenario cost: 80029.814960952746332623064517974853515625 Optimization Status: 2 scenario cost: 80029.814960952746332623064517974853515625 optimization time for scenario: 21 = 0.3203279972076416015625 scenario cost: 80469.633827719328110106289386749267578125 Optimization Status: 2 scenario cost: 80469.633827719328110106289386749267578125 optimization time for scenario: 22 = 0.2855498790740966796875 scenario cost: 89300.531312308274209499359130859375 Optimization Status: 2 scenario cost: 89300.531312308274209499359130859375 optimization time for scenario: 23 = 0.139791965484619140625 scenario cost: 73866.026778910425491631031036376953125 Optimization Status: 2 scenario cost: 73866.026778910425491631031036376953125 optimization time for scenario: 24 = 0.2223050594329833984375 scenario cost: 89247.835245601148926652967929840087890625 Optimization Status: 2 scenario cost: 89247.835245601148926652967929840087890625 optimization time for scenario: 25 = 0.0481731891632080078125 scenario cost: 80251.20353836062713526189327239990234375 Optimization Status: 2 scenario cost: 80251.20353836062713526189327239990234375 optimization time for scenario: 26 = 0.047890186309814453125 scenario cost: 82577.5488178094965405762195587158203125 Optimization Status: 2 scenario cost: 82577.5488178094965405762195587158203125 optimization time for scenario: 27 = 0.0473139286041259765625 scenario cost: 94450.29878867967636324465274810791015625 Optimization Status: 2 scenario cost: 94450.29878867967636324465274810791015625 optimization time for scenario: 28 = 0.0819489955902099609375 scenario cost: 85572.358071283393655903637409210205078125 Optimization Status: 2 scenario cost: 85572.358071283393655903637409210205078125 optimization time for scenario: 29 = 0.113768100738525390625 scenario cost: 112351.139642142326920293271541595458984375 Optimization Status: 2 scenario cost: 112351.139642142326920293271541595458984375 optimization time for scenario: 30 = 0.10274600982666015625 scenario cost: 90983.83524662946001626551151275634765625 Optimization Status: 2 scenario cost: 90983.83524662946001626551151275634765625 optimization time for scenario: 31 = 0.0838201045989990234375 scenario cost: 102820.915412956514046527445316314697265625 Optimization Status: 2 scenario cost: 102820.915412956514046527445316314697265625 optimization time for scenario: 32 = 0.09755802154541015625 scenario cost: 97833.9461063700146041810512542724609375 Optimization Status: 2 scenario cost: 97833.9461063700146041810512542724609375 optimization time for scenario: 33 = 0.129456043243408203125 scenario cost: 97937.18132498444174416363239288330078125 Optimization Status: 2 scenario cost: 97937.18132498444174416363239288330078125 optimization time for scenario: 34 = 0.0977389812469482421875 scenario cost: 91795.57658548196195624768733978271484375 Optimization Status: 2 scenario cost: 91795.57658548196195624768733978271484375 optimization time for scenario: 35 = 0.1160471439361572265625 scenario cost: 78095.006877334570162929594516754150390625 Optimization Status: 2 scenario cost: 78095.006877334570162929594516754150390625 optimization time for scenario: 36 = 0.120789051055908203125 scenario cost: 86648.935160916415043175220489501953125 Optimization Status: 2 scenario cost: 86648.935160916415043175220489501953125 optimization time for scenario: 37 = 0.0663471221923828125 scenario cost: 95429.983394741240772418677806854248046875 Optimization Status: 2 scenario cost: 95429.983394741240772418677806854248046875 optimization time for scenario: 38 = 0.0511558055877685546875 scenario cost: 84876.72122088933247141540050506591796875 Optimization Status: 2 scenario cost: 84876.72122088933247141540050506591796875 optimization time for scenario: 39 = 0.0498640537261962890625 Sending cuts of back to the stg 1 solver Objective Value 14870.064955285042742616496980190277099609375 memory usage: 112244024 received node: gen cut: Rental Cost 0 scenario cost: 97501.046297142616822384297847747802734375 Optimization Status: 2 scenario cost: 97501.046297142616822384297847747802734375 optimization time for scenario: 100 = 0.0537168979644775390625 scenario cost: 102234.71414282641489990055561065673828125 Optimization Status: 2 scenario cost: 102234.71414282641489990055561065673828125 optimization time for scenario: 101 = 0.053451061248779296875 scenario cost: 81886.747776942720520310103893280029296875 Optimization Status: 2 scenario cost: 81886.747776942720520310103893280029296875 optimization time for scenario: 102 = 0.054666042327880859375 scenario cost: 88598.451934204364079050719738006591796875 Optimization Status: 2 scenario cost: 88598.451934204364079050719738006591796875 optimization time for scenario: 103 = 0.054482936859130859375 scenario cost: 84794.22960772635997273027896881103515625 Optimization Status: 2 scenario cost: 84794.22960772635997273027896881103515625 optimization time for scenario: 104 = 0.0544948577880859375 scenario cost: 97457.93682288672425784170627593994140625 Optimization Status: 2 scenario cost: 97457.93682288672425784170627593994140625 optimization time for scenario: 105 = 0.0556228160858154296875 scenario cost: 78035.28587532494566403329372406005859375 Optimization Status: 2 scenario cost: 78035.28587532494566403329372406005859375 optimization time for scenario: 106 = 0.05478000640869140625 scenario cost: 92839.331804109460790641605854034423828125 Optimization Status: 2 scenario cost: 92839.331804109460790641605854034423828125 optimization time for scenario: 107 = 0.0529730319976806640625 scenario cost: 105697.915692376976949162781238555908203125 Optimization Status: 2 scenario cost: 105697.915692376976949162781238555908203125 optimization time for scenario: 108 = 0.0903260707855224609375 scenario cost: 91185.826543211078387685120105743408203125 Optimization Status: 2 scenario cost: 91185.826543211078387685120105743408203125 optimization time for scenario: 109 = 0.1214220523834228515625 scenario cost: 89097.72704218103899620473384857177734375 Optimization Status: 2 scenario cost: 89097.72704218103899620473384857177734375 optimization time for scenario: 110 = 0.093677997589111328125 scenario cost: 91042.6504652442527003586292266845703125 Optimization Status: 2 scenario cost: 91042.6504652442527003586292266845703125 optimization time for scenario: 111 = 0.134429931640625 scenario cost: 84262.02690074188285507261753082275390625 Optimization Status: 2 scenario cost: 84262.02690074188285507261753082275390625 optimization time for scenario: 112 = 0.1053330898284912109375 scenario cost: 96995.83043739988352172076702117919921875 Optimization Status: 2 scenario cost: 96995.83043739988352172076702117919921875 optimization time for scenario: 113 = 0.054193973541259765625 scenario cost: 81749.003849075292237102985382080078125 Optimization Status: 2 scenario cost: 81749.003849075292237102985382080078125 optimization time for scenario: 114 = 0.053164005279541015625 scenario cost: 85236.62362118603778071701526641845703125 Optimization Status: 2 scenario cost: 85236.62362118603778071701526641845703125 optimization time for scenario: 115 = 0.0543749332427978515625 scenario cost: 91665.55029585401643998920917510986328125 Optimization Status: 2 scenario cost: 91665.55029585401643998920917510986328125 optimization time for scenario: 116 = 0.0520470142364501953125 scenario cost: 86785.35563140930025838315486907958984375 Optimization Status: 2 scenario cost: 86785.35563140930025838315486907958984375 optimization time for scenario: 117 = 0.0572478771209716796875 scenario cost: 85383.81377927845460362732410430908203125 Optimization Status: 2 scenario cost: 85383.81377927845460362732410430908203125 optimization time for scenario: 118 = 0.0552520751953125 scenario cost: 83364.16692254311055876314640045166015625 Optimization Status: 2 scenario cost: 83364.16692254311055876314640045166015625 optimization time for scenario: 119 = 0.114836215972900390625 Sending cuts of back to the stg 1 solver Objective Value 14965.05876820602497900836169719696044921875 memory usage: 112245544 received node: gen cut: Rental Cost 0 scenario cost: 80919.1784285103785805404186248779296875 Optimization Status: 2 scenario cost: 80919.1784285103785805404186248779296875 optimization time for scenario: 80 = 0.1340339183807373046875 scenario cost: 97272.801084075545077212154865264892578125 Optimization Status: 2 scenario cost: 97272.801084075545077212154865264892578125 optimization time for scenario: 81 = 0.1756341457366943359375 scenario cost: 76906.4788454780937172472476959228515625 Optimization Status: 2 scenario cost: 76906.4788454780937172472476959228515625 optimization time for scenario: 82 = 0.146048069000244140625 scenario cost: 89795.638830271767801605165004730224609375 Optimization Status: 2 scenario cost: 89795.638830271767801605165004730224609375 optimization time for scenario: 83 = 0.113770961761474609375 scenario cost: 81558.331797536360681988298892974853515625 Optimization Status: 2 scenario cost: 81558.331797536360681988298892974853515625 optimization time for scenario: 84 = 0.1183888912200927734375 scenario cost: 86593.01763776413281448185443878173828125 Optimization Status: 2 scenario cost: 86593.01763776413281448185443878173828125 optimization time for scenario: 85 = 0.126203060150146484375 scenario cost: 94242.66711941632092930376529693603515625 Optimization Status: 2 scenario cost: 94242.66711941632092930376529693603515625 optimization time for scenario: 86 = 0.0922019481658935546875 scenario cost: 79813.16985716178896836936473846435546875 Optimization Status: 2 scenario cost: 79813.16985716178896836936473846435546875 optimization time for scenario: 87 = 0.0947339534759521484375 scenario cost: 77293.887025147341773845255374908447265625 Optimization Status: 2 scenario cost: 77293.887025147341773845255374908447265625 optimization time for scenario: 88 = 0.096992015838623046875 scenario cost: 78481.28107632978935725986957550048828125 Optimization Status: 2 scenario cost: 78481.28107632978935725986957550048828125 optimization time for scenario: 89 = 0.124990940093994140625 scenario cost: 87514.7390634081675671041011810302734375 Optimization Status: 2 scenario cost: 87514.7390634081675671041011810302734375 optimization time for scenario: 90 = 0.11980915069580078125 scenario cost: 85509.98362209592596627771854400634765625 Optimization Status: 2 scenario cost: 85509.98362209592596627771854400634765625 optimization time for scenario: 91 = 0.1166098117828369140625 scenario cost: 83688.361427003357675857841968536376953125 Optimization Status: 2 scenario cost: 83688.361427003357675857841968536376953125 optimization time for scenario: 92 = 0.1126861572265625 scenario cost: 100257.62468476896174252033233642578125 Optimization Status: 2 scenario cost: 100257.62468476896174252033233642578125 optimization time for scenario: 93 = 0.04078006744384765625 scenario cost: 88890.258627784598502330482006072998046875 Optimization Status: 2 scenario cost: 88890.258627784598502330482006072998046875 optimization time for scenario: 94 = 0.0377700328826904296875 scenario cost: 87419.07828242305549792945384979248046875 Optimization Status: 2 scenario cost: 87419.07828242305549792945384979248046875 optimization time for scenario: 95 = 0.034162998199462890625 scenario cost: 81437.1722444347105920314788818359375 Optimization Status: 2 scenario cost: 81437.1722444347105920314788818359375 optimization time for scenario: 96 = 0.03266811370849609375 scenario cost: 86726.781960677282768301665782928466796875 Optimization Status: 2 scenario cost: 86726.781960677282768301665782928466796875 optimization time for scenario: 97 = 0.032371044158935546875 scenario cost: 90667.57059644072433002293109893798828125 Optimization Status: 2 scenario cost: 90667.57059644072433002293109893798828125 optimization time for scenario: 98 = 0.0343520641326904296875 scenario cost: 90991.0484160038759000599384307861328125 Optimization Status: 2 scenario cost: 90991.0484160038759000599384307861328125 optimization time for scenario: 99 = 0.0297260284423828125 Sending cuts of back to the stg 1 solver Objective Value 14383.101389253746674512512981891632080078125 memory usage: 112247064 received node: gen cut: Rental Cost 0 scenario cost: 98142.318905404419638216495513916015625 Optimization Status: 2 scenario cost: 98142.318905404419638216495513916015625 optimization time for scenario: 100 = 0.0490868091583251953125 scenario cost: 102944.675698408405878581106662750244140625 Optimization Status: 2 scenario cost: 102944.675698408405878581106662750244140625 optimization time for scenario: 101 = 0.1036450862884521484375 scenario cost: 82567.90558657026849687099456787109375 Optimization Status: 2 scenario cost: 82567.90558657026849687099456787109375 optimization time for scenario: 102 = 0.12039279937744140625 scenario cost: 89547.236777793892542831599712371826171875 Optimization Status: 2 scenario cost: 89547.236777793892542831599712371826171875 optimization time for scenario: 103 = 0.12142181396484375 scenario cost: 85688.197123647085390985012054443359375 Optimization Status: 2 scenario cost: 85688.197123647085390985012054443359375 optimization time for scenario: 104 = 0.16615581512451171875 scenario cost: 98259.270818796809180639684200286865234375 Optimization Status: 2 scenario cost: 98259.270818796809180639684200286865234375 optimization time for scenario: 105 = 0.17623805999755859375 scenario cost: 78800.174821744789369404315948486328125 Optimization Status: 2 scenario cost: 78800.174821744789369404315948486328125 optimization time for scenario: 106 = 0.112743854522705078125 scenario cost: 93515.78384093448403291404247283935546875 Optimization Status: 2 scenario cost: 93515.78384093448403291404247283935546875 optimization time for scenario: 107 = 0.1262581348419189453125 scenario cost: 106589.209651590659632347524166107177734375 Optimization Status: 2 scenario cost: 106589.209651590659632347524166107177734375 optimization time for scenario: 108 = 0.0898749828338623046875 scenario cost: 92095.576829559562611393630504608154296875 Optimization Status: 2 scenario cost: 92095.576829559562611393630504608154296875 optimization time for scenario: 109 = 0.057916164398193359375 scenario cost: 89811.878305761958472430706024169921875 Optimization Status: 2 scenario cost: 89811.878305761958472430706024169921875 optimization time for scenario: 110 = 0.051352977752685546875 scenario cost: 91709.1254336270503699779510498046875 Optimization Status: 2 scenario cost: 91709.1254336270503699779510498046875 optimization time for scenario: 111 = 0.0550048351287841796875 scenario cost: 84958.786771149621927179396152496337890625 Optimization Status: 2 scenario cost: 84958.786771149621927179396152496337890625 optimization time for scenario: 112 = 0.0533168315887451171875 scenario cost: 97891.363802946507348679006099700927734375 Optimization Status: 2 scenario cost: 97891.363802946507348679006099700927734375 optimization time for scenario: 113 = 0.051453113555908203125 scenario cost: 82529.61110407553496770560741424560546875 Optimization Status: 2 scenario cost: 82529.61110407553496770560741424560546875 optimization time for scenario: 114 = 0.0492990016937255859375 scenario cost: 85910.0107833210495300590991973876953125 Optimization Status: 2 scenario cost: 85910.0107833210495300590991973876953125 optimization time for scenario: 115 = 0.0527360439300537109375 scenario cost: 92608.210372468092828057706356048583984375 Optimization Status: 2 scenario cost: 92608.210372468092828057706356048583984375 optimization time for scenario: 116 = 0.05403804779052734375 scenario cost: 87459.934541384500334970653057098388671875 Optimization Status: 2 scenario cost: 87459.934541384500334970653057098388671875 optimization time for scenario: 117 = 0.05006504058837890625 scenario cost: 86327.343294082544161938130855560302734375 Optimization Status: 2 scenario cost: 86327.343294082544161938130855560302734375 optimization time for scenario: 118 = 0.0497400760650634765625 scenario cost: 84277.24923794038477353751659393310546875 Optimization Status: 2 scenario cost: 84277.24923794038477353751659393310546875 optimization time for scenario: 119 = 0.0490629673004150390625 Sending cuts of back to the stg 1 solver Objective Value 15096.888476381272994331084191799163818359375 memory usage: 112248584 received node: gen cut: Rental Cost 0 scenario cost: 84957.417314110978622920811176300048828125 Optimization Status: 2 scenario cost: 84957.417314110978622920811176300048828125 optimization time for scenario: 40 = 0.071876049041748046875 scenario cost: 101258.6302234198083169758319854736328125 Optimization Status: 2 scenario cost: 101258.6302234198083169758319854736328125 optimization time for scenario: 41 = 0.056704998016357421875 scenario cost: 89077.4522766440059058368206024169921875 Optimization Status: 2 scenario cost: 89077.4522766440059058368206024169921875 optimization time for scenario: 42 = 0.056849002838134765625 scenario cost: 82571.644338387719471938908100128173828125 Optimization Status: 2 scenario cost: 82571.644338387719471938908100128173828125 optimization time for scenario: 43 = 0.05389308929443359375 scenario cost: 106281.32551730927661992609500885009765625 Optimization Status: 2 scenario cost: 106281.32551730927661992609500885009765625 optimization time for scenario: 44 = 0.05657196044921875 scenario cost: 86654.004043597393319942057132720947265625 Optimization Status: 2 scenario cost: 86654.004043597393319942057132720947265625 optimization time for scenario: 45 = 0.0572941303253173828125 scenario cost: 88659.851961881489842198789119720458984375 Optimization Status: 2 scenario cost: 88659.851961881489842198789119720458984375 optimization time for scenario: 46 = 0.054011821746826171875 scenario cost: 101197.792467380713787861168384552001953125 Optimization Status: 2 scenario cost: 101197.792467380713787861168384552001953125 optimization time for scenario: 47 = 0.1067240238189697265625 scenario cost: 95659.500599394392338581383228302001953125 Optimization Status: 2 scenario cost: 95659.500599394392338581383228302001953125 optimization time for scenario: 48 = 0.1091959476470947265625 scenario cost: 89472.7076167869963683187961578369140625 Optimization Status: 2 scenario cost: 89472.7076167869963683187961578369140625 optimization time for scenario: 49 = 0.1136839389801025390625 scenario cost: 75106.82225914052105508744716644287109375 Optimization Status: 2 scenario cost: 75106.82225914052105508744716644287109375 optimization time for scenario: 50 = 0.1166379451751708984375 scenario cost: 110594.51964811680954881012439727783203125 Optimization Status: 2 scenario cost: 110594.51964811680954881012439727783203125 optimization time for scenario: 51 = 0.110105991363525390625 scenario cost: 82346.47911828427459113299846649169921875 Optimization Status: 2 scenario cost: 82346.47911828427459113299846649169921875 optimization time for scenario: 52 = 0.1166260242462158203125 scenario cost: 78559.733903935979469679296016693115234375 Optimization Status: 2 scenario cost: 78559.733903935979469679296016693115234375 optimization time for scenario: 53 = 0.07740306854248046875 scenario cost: 77089.320452317115268670022487640380859375 Optimization Status: 2 scenario cost: 77089.320452317115268670022487640380859375 optimization time for scenario: 54 = 0.05728912353515625 scenario cost: 81620.279129631948308087885379791259765625 Optimization Status: 2 scenario cost: 81620.279129631948308087885379791259765625 optimization time for scenario: 55 = 0.054851055145263671875 scenario cost: 87431.03098163029062561690807342529296875 Optimization Status: 2 scenario cost: 87431.03098163029062561690807342529296875 optimization time for scenario: 56 = 0.0540940761566162109375 scenario cost: 90861.20428905365406535565853118896484375 Optimization Status: 2 scenario cost: 90861.20428905365406535565853118896484375 optimization time for scenario: 57 = 0.056643009185791015625 scenario cost: 91711.730473298215656541287899017333984375 Optimization Status: 2 scenario cost: 91711.730473298215656541287899017333984375 optimization time for scenario: 58 = 0.0556399822235107421875 scenario cost: 99493.30688065421418286859989166259765625 Optimization Status: 2 scenario cost: 99493.30688065421418286859989166259765625 optimization time for scenario: 59 = 0.053985118865966796875 Sending cuts of back to the stg 1 solver Objective Value 15004.979592299683645251207053661346435546875 memory usage: 112250104 received node: gen cut: Rental Cost 0 scenario cost: 83637.65049000296858139336109161376953125 Optimization Status: 2 scenario cost: 83637.65049000296858139336109161376953125 optimization time for scenario: 80 = 0.1437549591064453125 scenario cost: 100074.676310005670529790222644805908203125 Optimization Status: 2 scenario cost: 100074.676310005670529790222644805908203125 optimization time for scenario: 81 = 0.0775759220123291015625 scenario cost: 79581.436349996816716156899929046630859375 Optimization Status: 2 scenario cost: 79581.436349996816716156899929046630859375 optimization time for scenario: 82 = 0.1147968769073486328125 scenario cost: 92486.661006931433803401887416839599609375 Optimization Status: 2 scenario cost: 92486.661006931433803401887416839599609375 optimization time for scenario: 83 = 0.1379249095916748046875 scenario cost: 85271.517978897245484404265880584716796875 Optimization Status: 2 scenario cost: 85271.517978897245484404265880584716796875 optimization time for scenario: 84 = 0.1184060573577880859375 scenario cost: 89678.9044017826090566813945770263671875 Optimization Status: 2 scenario cost: 89678.9044017826090566813945770263671875 optimization time for scenario: 85 = 0.115231990814208984375 scenario cost: 97343.709964769033831544220447540283203125 Optimization Status: 2 scenario cost: 97343.709964769033831544220447540283203125 optimization time for scenario: 86 = 0.0709140300750732421875 scenario cost: 82560.752248192511615343391895294189453125 Optimization Status: 2 scenario cost: 82560.752248192511615343391895294189453125 optimization time for scenario: 87 = 0.057837009429931640625 scenario cost: 80255.352940225580823607742786407470703125 Optimization Status: 2 scenario cost: 80255.352940225580823607742786407470703125 optimization time for scenario: 88 = 0.057466983795166015625 scenario cost: 82194.103715387071133591234683990478515625 Optimization Status: 2 scenario cost: 82194.103715387071133591234683990478515625 optimization time for scenario: 89 = 0.0564820766448974609375 scenario cost: 91179.89728673195349983870983123779296875 Optimization Status: 2 scenario cost: 91179.89728673195349983870983123779296875 optimization time for scenario: 90 = 0.0599930286407470703125 scenario cost: 88454.432261354406364262104034423828125 Optimization Status: 2 scenario cost: 88454.432261354406364262104034423828125 optimization time for scenario: 91 = 0.0568950176239013671875 scenario cost: 86746.755672776256687939167022705078125 Optimization Status: 2 scenario cost: 86746.755672776256687939167022705078125 optimization time for scenario: 92 = 0.0931799411773681640625 scenario cost: 103186.170475218284991569817066192626953125 Optimization Status: 2 scenario cost: 103186.170475218284991569817066192626953125 optimization time for scenario: 93 = 0.1259930133819580078125 scenario cost: 91853.227034564231871627271175384521484375 Optimization Status: 2 scenario cost: 91853.227034564231871627271175384521484375 optimization time for scenario: 94 = 0.119102001190185546875 scenario cost: 90068.40163437425508163869380950927734375 Optimization Status: 2 scenario cost: 90068.40163437425508163869380950927734375 optimization time for scenario: 95 = 0.1213588714599609375 scenario cost: 84993.27593067279667593538761138916015625 Optimization Status: 2 scenario cost: 84993.27593067279667593538761138916015625 optimization time for scenario: 96 = 0.125445842742919921875 scenario cost: 89825.455342064567958004772663116455078125 Optimization Status: 2 scenario cost: 89825.455342064567958004772663116455078125 optimization time for scenario: 97 = 0.095921039581298828125 scenario cost: 93357.846390838487423025071620941162109375 Optimization Status: 2 scenario cost: 93357.846390838487423025071620941162109375 optimization time for scenario: 98 = 0.0619618892669677734375 scenario cost: 93989.002006761191296391189098358154296875 Optimization Status: 2 scenario cost: 93989.002006761191296391189098358154296875 optimization time for scenario: 99 = 0.0585348606109619140625 Sending cuts of back to the stg 1 solver Objective Value 14889.43402070524825830943882465362548828125 memory usage: 112251624 received node: gen cut: Rental Cost 0 scenario cost: 77088.09665014382335357367992401123046875 Optimization Status: 2 scenario cost: 77088.09665014382335357367992401123046875 optimization time for scenario: 0 = 0.061923980712890625 scenario cost: 81668.543570354828261770308017730712890625 Optimization Status: 2 scenario cost: 81668.543570354828261770308017730712890625 optimization time for scenario: 1 = 0.0577609539031982421875 scenario cost: 86217.4366007015923969447612762451171875 Optimization Status: 2 scenario cost: 86217.4366007015923969447612762451171875 optimization time for scenario: 2 = 0.10676288604736328125 scenario cost: 86426.671841615650919266045093536376953125 Optimization Status: 2 scenario cost: 86426.671841615650919266045093536376953125 optimization time for scenario: 3 = 0.064540863037109375 scenario cost: 92844.9195484029478393495082855224609375 Optimization Status: 2 scenario cost: 92844.9195484029478393495082855224609375 optimization time for scenario: 4 = 0.07497501373291015625 scenario cost: 97009.39726753722061403095722198486328125 Optimization Status: 2 scenario cost: 97009.39726753722061403095722198486328125 optimization time for scenario: 5 = 0.1031858921051025390625 scenario cost: 84057.58798663926427252590656280517578125 Optimization Status: 2 scenario cost: 84057.58798663926427252590656280517578125 optimization time for scenario: 6 = 0.0743710994720458984375 scenario cost: 84610.297503875233815051615238189697265625 Optimization Status: 2 scenario cost: 84610.297503875233815051615238189697265625 optimization time for scenario: 7 = 0.053059101104736328125 scenario cost: 76855.53595768721424974501132965087890625 Optimization Status: 2 scenario cost: 76855.53595768721424974501132965087890625 optimization time for scenario: 8 = 0.0700581073760986328125 scenario cost: 93177.415429139553452841937541961669921875 Optimization Status: 2 scenario cost: 93177.415429139553452841937541961669921875 optimization time for scenario: 9 = 0.105823993682861328125 scenario cost: 83734.560508665279485285282135009765625 Optimization Status: 2 scenario cost: 83734.560508665279485285282135009765625 optimization time for scenario: 10 = 0.281198978424072265625 scenario cost: 71442.62695230427198112010955810546875 Optimization Status: 2 scenario cost: 71442.62695230427198112010955810546875 optimization time for scenario: 11 = 0.299499988555908203125 scenario cost: 87184.09167475128197111189365386962890625 Optimization Status: 2 scenario cost: 87184.09167475128197111189365386962890625 optimization time for scenario: 12 = 0.1798808574676513671875 scenario cost: 83389.039753891745931468904018402099609375 Optimization Status: 2 scenario cost: 83389.039753891745931468904018402099609375 optimization time for scenario: 13 = 0.18758678436279296875 scenario cost: 83394.888016952216275967657566070556640625 Optimization Status: 2 scenario cost: 83394.888016952216275967657566070556640625 optimization time for scenario: 14 = 0.17941379547119140625 scenario cost: 98061.47028745626448653638362884521484375 Optimization Status: 2 scenario cost: 98061.47028745626448653638362884521484375 optimization time for scenario: 15 = 0.2990589141845703125 scenario cost: 81478.904590640406240709125995635986328125 Optimization Status: 2 scenario cost: 81478.904590640406240709125995635986328125 optimization time for scenario: 16 = 0.329474925994873046875 scenario cost: 79060.13029683186323381960391998291015625 Optimization Status: 2 scenario cost: 79060.13029683186323381960391998291015625 optimization time for scenario: 17 = 0.261889934539794921875 scenario cost: 99042.255955297834589146077632904052734375 Optimization Status: 2 scenario cost: 99042.255955297834589146077632904052734375 optimization time for scenario: 18 = 0.193377017974853515625 scenario cost: 84425.773626422378583811223506927490234375 Optimization Status: 2 scenario cost: 84425.773626422378583811223506927490234375 optimization time for scenario: 19 = 0.3095009326934814453125 Sending cuts of back to the stg 1 solver Objective Value 14259.689994506121365702711045742034912109375 memory usage: 112253144 received node: gen cut: Rental Cost 0 scenario cost: 83024.609969030760112218558788299560546875 Optimization Status: 2 scenario cost: 83024.609969030760112218558788299560546875 optimization time for scenario: 80 = 0.1598079204559326171875 scenario cost: 99297.011202014706213958561420440673828125 Optimization Status: 2 scenario cost: 99297.011202014706213958561420440673828125 optimization time for scenario: 81 = 0.1120879650115966796875 scenario cost: 78959.71409269628929905593395233154296875 Optimization Status: 2 scenario cost: 78959.71409269628929905593395233154296875 optimization time for scenario: 82 = 0.1308929920196533203125 scenario cost: 91753.2844574089976958930492401123046875 Optimization Status: 2 scenario cost: 91753.2844574089976958930492401123046875 optimization time for scenario: 83 = 0.117565155029296875 scenario cost: 84020.193779535577050410211086273193359375 Optimization Status: 2 scenario cost: 84020.193779535577050410211086273193359375 optimization time for scenario: 84 = 0.1339390277862548828125 scenario cost: 88875.82816015105345286428928375244140625 Optimization Status: 2 scenario cost: 88875.82816015105345286428928375244140625 optimization time for scenario: 85 = 0.1837480068206787109375 scenario cost: 96726.552372610385646112263202667236328125 Optimization Status: 2 scenario cost: 96726.552372610385646112263202667236328125 optimization time for scenario: 86 = 0.123489856719970703125 scenario cost: 81919.65730459988117218017578125 Optimization Status: 2 scenario cost: 81919.65730459988117218017578125 optimization time for scenario: 87 = 0.129127979278564453125 scenario cost: 79454.54034092245274223387241363525390625 Optimization Status: 2 scenario cost: 79454.54034092245274223387241363525390625 optimization time for scenario: 88 = 0.1195468902587890625 scenario cost: 81036.858621113933622837066650390625 Optimization Status: 2 scenario cost: 81036.858621113933622837066650390625 optimization time for scenario: 89 = 0.1198389530181884765625 scenario cost: 90091.67563127653556875884532928466796875 Optimization Status: 2 scenario cost: 90091.67563127653556875884532928466796875 optimization time for scenario: 90 = 0.105175018310546875 scenario cost: 87751.20308550764457322657108306884765625 Optimization Status: 2 scenario cost: 87751.20308550764457322657108306884765625 optimization time for scenario: 91 = 0.1037578582763671875 scenario cost: 86055.59599323486327193677425384521484375 Optimization Status: 2 scenario cost: 86055.59599323486327193677425384521484375 optimization time for scenario: 92 = 0.05541896820068359375 scenario cost: 102579.9995448771514929831027984619140625 Optimization Status: 2 scenario cost: 102579.9995448771514929831027984619140625 optimization time for scenario: 93 = 0.057980060577392578125 scenario cost: 91291.61908926660544238984584808349609375 Optimization Status: 2 scenario cost: 91291.61908926660544238984584808349609375 optimization time for scenario: 94 = 0.05871105194091796875 scenario cost: 89488.391255052425549365580081939697265625 Optimization Status: 2 scenario cost: 89488.391255052425549365580081939697265625 optimization time for scenario: 95 = 0.050280094146728515625 scenario cost: 83728.223355642272508703172206878662109375 Optimization Status: 2 scenario cost: 83728.223355642272508703172206878662109375 optimization time for scenario: 96 = 0.03557109832763671875 scenario cost: 89150.106882334846886806190013885498046875 Optimization Status: 2 scenario cost: 89150.106882334846886806190013885498046875 optimization time for scenario: 97 = 0.0364749431610107421875 scenario cost: 92806.09711262417840771377086639404296875 Optimization Status: 2 scenario cost: 92806.09711262417840771377086639404296875 optimization time for scenario: 98 = 0.0326001644134521484375 scenario cost: 93223.757373180196736939251422882080078125 Optimization Status: 2 scenario cost: 93223.757373180196736939251422882080078125 optimization time for scenario: 99 = 0.0313770771026611328125 Sending cuts of back to the stg 1 solver Objective Value 14760.231955695018768892623484134674072265625 memory usage: 112254664 received node: gen cut: Rental Cost 0 scenario cost: 98117.80582352189230732619762420654296875 Optimization Status: 2 scenario cost: 98117.80582352189230732619762420654296875 optimization time for scenario: 100 = 0.064505100250244140625 scenario cost: 103129.42565021713380701839923858642578125 Optimization Status: 2 scenario cost: 103129.42565021713380701839923858642578125 optimization time for scenario: 101 = 0.1083738803863525390625 scenario cost: 82948.871340982019319199025630950927734375 Optimization Status: 2 scenario cost: 82948.871340982019319199025630950927734375 optimization time for scenario: 102 = 0.126139163970947265625 scenario cost: 89888.38303243104019202291965484619140625 Optimization Status: 2 scenario cost: 89888.38303243104019202291965484619140625 optimization time for scenario: 103 = 0.1056501865386962890625 scenario cost: 86353.236357193891308270394802093505859375 Optimization Status: 2 scenario cost: 86353.236357193891308270394802093505859375 optimization time for scenario: 104 = 0.0615808963775634765625 scenario cost: 97944.0937914146925322711467742919921875 Optimization Status: 2 scenario cost: 97944.0937914146925322711467742919921875 optimization time for scenario: 105 = 0.05885601043701171875 scenario cost: 79190.562241182007710449397563934326171875 Optimization Status: 2 scenario cost: 79190.562241182007710449397563934326171875 optimization time for scenario: 106 = 0.059157848358154296875 scenario cost: 93900.97237057820893824100494384765625 Optimization Status: 2 scenario cost: 93900.97237057820893824100494384765625 optimization time for scenario: 107 = 0.0619189739227294921875 scenario cost: 107059.5021246245014481246471405029296875 Optimization Status: 2 scenario cost: 107059.5021246245014481246471405029296875 optimization time for scenario: 108 = 0.06219196319580078125 scenario cost: 92975.68287907951162196695804595947265625 Optimization Status: 2 scenario cost: 92975.68287907951162196695804595947265625 optimization time for scenario: 109 = 0.0989110469818115234375 scenario cost: 90103.47084069889388047158718109130859375 Optimization Status: 2 scenario cost: 90103.47084069889388047158718109130859375 optimization time for scenario: 110 = 0.1400721073150634765625 scenario cost: 92254.426045739106484688818454742431640625 Optimization Status: 2 scenario cost: 92254.426045739106484688818454742431640625 optimization time for scenario: 111 = 0.126660823822021484375 scenario cost: 85300.679464749628095887601375579833984375 Optimization Status: 2 scenario cost: 85300.679464749628095887601375579833984375 optimization time for scenario: 112 = 0.1160919666290283203125 scenario cost: 98310.271785990989883430302143096923828125 Optimization Status: 2 scenario cost: 98310.271785990989883430302143096923828125 optimization time for scenario: 113 = 0.1999568939208984375 scenario cost: 82855.848348418265231885015964508056640625 Optimization Status: 2 scenario cost: 82855.848348418265231885015964508056640625 optimization time for scenario: 114 = 0.0810921192169189453125 scenario cost: 86290.527089345458080060780048370361328125 Optimization Status: 2 scenario cost: 86290.527089345458080060780048370361328125 optimization time for scenario: 115 = 0.0677449703216552734375 scenario cost: 92889.690163930310518480837345123291015625 Optimization Status: 2 scenario cost: 92889.690163930310518480837345123291015625 optimization time for scenario: 116 = 0.0613200664520263671875 scenario cost: 87851.88130965540767647325992584228515625 Optimization Status: 2 scenario cost: 87851.88130965540767647325992584228515625 optimization time for scenario: 117 = 0.120401859283447265625 scenario cost: 86738.872417397025856189429759979248046875 Optimization Status: 2 scenario cost: 86738.872417397025856189429759979248046875 optimization time for scenario: 118 = 0.0920231342315673828125 scenario cost: 84689.91232045207289047539234161376953125 Optimization Status: 2 scenario cost: 84689.91232045207289047539234161376953125 optimization time for scenario: 119 = 0.061937808990478515625 Sending cuts of back to the stg 1 solver Objective Value 15156.557001842835234128870069980621337890625 memory usage: 112256184 received node: gen cut: Rental Cost 0 scenario cost: 76923.534762062117806635797023773193359375 Optimization Status: 2 scenario cost: 76923.534762062117806635797023773193359375 optimization time for scenario: 0 = 0.080524921417236328125 scenario cost: 83531.700765893721836619079113006591796875 Optimization Status: 2 scenario cost: 83531.700765893721836619079113006591796875 optimization time for scenario: 1 = 0.05306911468505859375 scenario cost: 88114.953103646068484522402286529541015625 Optimization Status: 2 scenario cost: 88114.953103646068484522402286529541015625 optimization time for scenario: 2 = 0.053286075592041015625 scenario cost: 88268.371410513078444637358188629150390625 Optimization Status: 2 scenario cost: 88268.371410513078444637358188629150390625 optimization time for scenario: 3 = 0.0575449466705322265625 scenario cost: 94709.428689190142904408276081085205078125 Optimization Status: 2 scenario cost: 94709.428689190142904408276081085205078125 optimization time for scenario: 4 = 0.053040981292724609375 scenario cost: 98788.556252069407491944730281829833984375 Optimization Status: 2 scenario cost: 98788.556252069407491944730281829833984375 optimization time for scenario: 5 = 0.0560538768768310546875 scenario cost: 84399.958716838271357119083404541015625 Optimization Status: 2 scenario cost: 84399.958716838271357119083404541015625 optimization time for scenario: 6 = 0.104361057281494140625 scenario cost: 84838.935607472885749302804470062255859375 Optimization Status: 2 scenario cost: 84838.935607472885749302804470062255859375 optimization time for scenario: 7 = 0.06565380096435546875 scenario cost: 77436.76802606767159886658191680908203125 Optimization Status: 2 scenario cost: 77436.76802606767159886658191680908203125 optimization time for scenario: 8 = 0.1175079345703125 scenario cost: 95105.223116888912045396864414215087890625 Optimization Status: 2 scenario cost: 95105.223116888912045396864414215087890625 optimization time for scenario: 9 = 0.1296479701995849609375 scenario cost: 85534.846211226467858068645000457763671875 Optimization Status: 2 scenario cost: 85534.846211226467858068645000457763671875 optimization time for scenario: 10 = 0.1209990978240966796875 scenario cost: 71247.9868078022846020758152008056640625 Optimization Status: 2 scenario cost: 71247.9868078022846020758152008056640625 optimization time for scenario: 11 = 0.0928709506988525390625 scenario cost: 90390.333872286995756439864635467529296875 Optimization Status: 2 scenario cost: 90390.333872286995756439864635467529296875 optimization time for scenario: 12 = 0.085205078125 scenario cost: 86519.57449931581504642963409423828125 Optimization Status: 2 scenario cost: 86519.57449931581504642963409423828125 optimization time for scenario: 13 = 0.0579040050506591796875 scenario cost: 85033.99473133779247291386127471923828125 Optimization Status: 2 scenario cost: 85033.99473133779247291386127471923828125 optimization time for scenario: 14 = 0.05342388153076171875 scenario cost: 99939.0344527307315729558467864990234375 Optimization Status: 2 scenario cost: 99939.0344527307315729558467864990234375 optimization time for scenario: 15 = 0.0536749362945556640625 scenario cost: 84382.83953104467946104705333709716796875 Optimization Status: 2 scenario cost: 84382.83953104467946104705333709716796875 optimization time for scenario: 16 = 0.053451061248779296875 scenario cost: 80781.287771801245980896055698394775390625 Optimization Status: 2 scenario cost: 80781.287771801245980896055698394775390625 optimization time for scenario: 17 = 0.053037166595458984375 scenario cost: 100890.1487589266034774482250213623046875 Optimization Status: 2 scenario cost: 100890.1487589266034774482250213623046875 optimization time for scenario: 18 = 0.0522899627685546875 scenario cost: 86397.7706605066196061670780181884765625 Optimization Status: 2 scenario cost: 86397.7706605066196061670780181884765625 optimization time for scenario: 19 = 0.05449008941650390625 Sending cuts of back to the stg 1 solver Objective Value 14526.902290055257253698073327541351318359375 memory usage: 112257704 received node: gen cut: Rental Cost 0 scenario cost: 92155.339013421835261397063732147216796875 Optimization Status: 2 scenario cost: 92155.339013421835261397063732147216796875 optimization time for scenario: 20 = 0.0573978424072265625 scenario cost: 81629.66350051623885519802570343017578125 Optimization Status: 2 scenario cost: 81629.66350051623885519802570343017578125 optimization time for scenario: 21 = 0.1028499603271484375 scenario cost: 80628.750464387165266089141368865966796875 Optimization Status: 2 scenario cost: 80628.750464387165266089141368865966796875 optimization time for scenario: 22 = 0.0781061649322509765625 scenario cost: 89437.308435099359485320746898651123046875 Optimization Status: 2 scenario cost: 89437.308435099359485320746898651123046875 optimization time for scenario: 23 = 0.089600086212158203125 scenario cost: 74154.597343373068724758923053741455078125 Optimization Status: 2 scenario cost: 74154.597343373068724758923053741455078125 optimization time for scenario: 24 = 0.10144901275634765625 scenario cost: 91931.93796416689292527735233306884765625 Optimization Status: 2 scenario cost: 91931.93796416689292527735233306884765625 optimization time for scenario: 25 = 0.1229679584503173828125 scenario cost: 80640.415051112999208271503448486328125 Optimization Status: 2 scenario cost: 80640.415051112999208271503448486328125 optimization time for scenario: 26 = 0.100615978240966796875 scenario cost: 85245.6784455068991519510746002197265625 Optimization Status: 2 scenario cost: 85245.6784455068991519510746002197265625 optimization time for scenario: 27 = 0.1256949901580810546875 scenario cost: 97092.25840181412058882415294647216796875 Optimization Status: 2 scenario cost: 97092.25840181412058882415294647216796875 optimization time for scenario: 28 = 0.08977794647216796875 scenario cost: 88216.825010654734796844422817230224609375 Optimization Status: 2 scenario cost: 88216.825010654734796844422817230224609375 optimization time for scenario: 29 = 0.10830211639404296875 scenario cost: 117976.863057158552692271769046783447265625 Optimization Status: 2 scenario cost: 117976.863057158552692271769046783447265625 optimization time for scenario: 30 = 0.091969013214111328125 scenario cost: 94934.830987762819859199225902557373046875 Optimization Status: 2 scenario cost: 94934.830987762819859199225902557373046875 optimization time for scenario: 31 = 0.12207889556884765625 scenario cost: 107309.031363255795440636575222015380859375 Optimization Status: 2 scenario cost: 107309.031363255795440636575222015380859375 optimization time for scenario: 32 = 0.0933148860931396484375 scenario cost: 100610.79521480514085851609706878662109375 Optimization Status: 2 scenario cost: 100610.79521480514085851609706878662109375 optimization time for scenario: 33 = 0.0601899623870849609375 scenario cost: 103038.39575229489128105342388153076171875 Optimization Status: 2 scenario cost: 103038.39575229489128105342388153076171875 optimization time for scenario: 34 = 0.0521190166473388671875 scenario cost: 94648.553943017657729797065258026123046875 Optimization Status: 2 scenario cost: 94648.553943017657729797065258026123046875 optimization time for scenario: 35 = 0.0555160045623779296875 scenario cost: 79952.298293532352545298635959625244140625 Optimization Status: 2 scenario cost: 79952.298293532352545298635959625244140625 optimization time for scenario: 36 = 0.0513489246368408203125 scenario cost: 89128.32835779598099179565906524658203125 Optimization Status: 2 scenario cost: 89128.32835779598099179565906524658203125 optimization time for scenario: 37 = 0.0481159687042236328125 scenario cost: 97873.888166201228159479796886444091796875 Optimization Status: 2 scenario cost: 97873.888166201228159479796886444091796875 optimization time for scenario: 38 = 0.0491149425506591796875 scenario cost: 87706.876963000264368019998073577880859375 Optimization Status: 2 scenario cost: 87706.876963000264368019998073577880859375 optimization time for scenario: 39 = 0.0440351963043212890625 Sending cuts of back to the stg 1 solver Objective Value 15285.8774873194561223499476909637451171875 memory usage: 112259224 received node: gen cut: Rental Cost 0 scenario cost: 99744.35603446073946543037891387939453125 Optimization Status: 2 scenario cost: 99744.35603446073946543037891387939453125 optimization time for scenario: 100 = 0.121368885040283203125 scenario cost: 104666.76227614239905960857868194580078125 Optimization Status: 2 scenario cost: 104666.76227614239905960857868194580078125 optimization time for scenario: 101 = 0.1075308322906494140625 scenario cost: 83599.049586144348722882568836212158203125 Optimization Status: 2 scenario cost: 83599.049586144348722882568836212158203125 optimization time for scenario: 102 = 0.111009120941162109375 scenario cost: 90217.663063864936702884733676910400390625 Optimization Status: 2 scenario cost: 90217.663063864936702884733676910400390625 optimization time for scenario: 103 = 0.1084849834442138671875 scenario cost: 86519.243403094238601624965667724609375 Optimization Status: 2 scenario cost: 86519.243403094238601624965667724609375 optimization time for scenario: 104 = 0.1364161968231201171875 scenario cost: 99995.10295939326169900596141815185546875 Optimization Status: 2 scenario cost: 99995.10295939326169900596141815185546875 optimization time for scenario: 105 = 0.1027719974517822265625 scenario cost: 79465.947911009294330142438411712646484375 Optimization Status: 2 scenario cost: 79465.947911009294330142438411712646484375 optimization time for scenario: 106 = 0.10955810546875 scenario cost: 94226.978934838552959263324737548828125 Optimization Status: 2 scenario cost: 94226.978934838552959263324737548828125 optimization time for scenario: 107 = 0.1312201023101806640625 scenario cost: 107447.667673757488955743610858917236328125 Optimization Status: 2 scenario cost: 107447.667673757488955743610858917236328125 optimization time for scenario: 108 = 0.1187269687652587890625 scenario cost: 92819.2816292668576352298259735107421875 Optimization Status: 2 scenario cost: 92819.2816292668576352298259735107421875 optimization time for scenario: 109 = 0.128716945648193359375 scenario cost: 90504.30208058352582156658172607421875 Optimization Status: 2 scenario cost: 90504.30208058352582156658172607421875 optimization time for scenario: 110 = 0.1134121417999267578125 scenario cost: 92495.352061981000588275492191314697265625 Optimization Status: 2 scenario cost: 92495.352061981000588275492191314697265625 optimization time for scenario: 111 = 0.08664798736572265625 scenario cost: 85636.948268455846118740737438201904296875 Optimization Status: 2 scenario cost: 85636.948268455846118740737438201904296875 optimization time for scenario: 112 = 0.0579359531402587890625 scenario cost: 98706.8699021097854711115360260009765625 Optimization Status: 2 scenario cost: 98706.8699021097854711115360260009765625 optimization time for scenario: 113 = 0.061501979827880859375 scenario cost: 83315.814266027999110519886016845703125 Optimization Status: 2 scenario cost: 83315.814266027999110519886016845703125 optimization time for scenario: 114 = 0.053225994110107421875 scenario cost: 86603.43785882019437849521636962890625 Optimization Status: 2 scenario cost: 86603.43785882019437849521636962890625 optimization time for scenario: 115 = 0.0539820194244384765625 scenario cost: 93413.160434483099379576742649078369140625 Optimization Status: 2 scenario cost: 93413.160434483099379576742649078369140625 optimization time for scenario: 116 = 0.041061878204345703125 scenario cost: 88834.934629545896314084529876708984375 Optimization Status: 2 scenario cost: 88834.934629545896314084529876708984375 optimization time for scenario: 117 = 0.03211688995361328125 scenario cost: 87623.853324821466230787336826324462890625 Optimization Status: 2 scenario cost: 87623.853324821466230787336826324462890625 optimization time for scenario: 118 = 0.03829288482666015625 scenario cost: 84981.494266738285659812390804290771484375 Optimization Status: 2 scenario cost: 84981.494266738285659812390804290771484375 optimization time for scenario: 119 = 0.0353600978851318359375 Sending cuts of back to the stg 1 solver Objective Value 15256.75747743880492635071277618408203125 memory usage: 112260744 received node: gen cut: Rental Cost 0 scenario cost: 85870.21793510110001079738140106201171875 Optimization Status: 2 scenario cost: 85870.21793510110001079738140106201171875 optimization time for scenario: 40 = 0.1163461208343505859375 scenario cost: 102089.07639007759280502796173095703125 Optimization Status: 2 scenario cost: 102089.07639007759280502796173095703125 optimization time for scenario: 41 = 0.1014511585235595703125 scenario cost: 89777.997161617342499084770679473876953125 Optimization Status: 2 scenario cost: 89777.997161617342499084770679473876953125 optimization time for scenario: 42 = 0.11911487579345703125 scenario cost: 83215.063901413217536173760890960693359375 Optimization Status: 2 scenario cost: 83215.063901413217536173760890960693359375 optimization time for scenario: 43 = 0.109813213348388671875 scenario cost: 107240.925820839722291566431522369384765625 Optimization Status: 2 scenario cost: 107240.925820839722291566431522369384765625 optimization time for scenario: 44 = 0.07184886932373046875 scenario cost: 87260.568524787086062133312225341796875 Optimization Status: 2 scenario cost: 87260.568524787086062133312225341796875 optimization time for scenario: 45 = 0.1021358966827392578125 scenario cost: 89310.347332060991902835667133331298828125 Optimization Status: 2 scenario cost: 89310.347332060991902835667133331298828125 optimization time for scenario: 46 = 0.1899459362030029296875 scenario cost: 102100.4584092044387944042682647705078125 Optimization Status: 2 scenario cost: 102100.4584092044387944042682647705078125 optimization time for scenario: 47 = 0.199824810028076171875 scenario cost: 96328.184721120269387029111385345458984375 Optimization Status: 2 scenario cost: 96328.184721120269387029111385345458984375 optimization time for scenario: 48 = 0.3301258087158203125 scenario cost: 90322.032238647647318430244922637939453125 Optimization Status: 2 scenario cost: 90322.032238647647318430244922637939453125 optimization time for scenario: 49 = 0.371201038360595703125 scenario cost: 75978.808384621501318179070949554443359375 Optimization Status: 2 scenario cost: 75978.808384621501318179070949554443359375 optimization time for scenario: 50 = 0.377666950225830078125 scenario cost: 111570.589408327636192552745342254638671875 Optimization Status: 2 scenario cost: 111570.589408327636192552745342254638671875 optimization time for scenario: 51 = 0.3780510425567626953125 scenario cost: 83169.99329487091745249927043914794921875 Optimization Status: 2 scenario cost: 83169.99329487091745249927043914794921875 optimization time for scenario: 52 = 0.363819122314453125 scenario cost: 79322.210880351820378564298152923583984375 Optimization Status: 2 scenario cost: 79322.210880351820378564298152923583984375 optimization time for scenario: 53 = 0.18492603302001953125 scenario cost: 76700.979429880317184142768383026123046875 Optimization Status: 2 scenario cost: 76700.979429880317184142768383026123046875 optimization time for scenario: 54 = 0.170527935028076171875 scenario cost: 82602.127953747447463683784008026123046875 Optimization Status: 2 scenario cost: 82602.127953747447463683784008026123046875 optimization time for scenario: 55 = 0.1897919178009033203125 scenario cost: 87838.934519898481084965169429779052734375 Optimization Status: 2 scenario cost: 87838.934519898481084965169429779052734375 optimization time for scenario: 56 = 0.1219508647918701171875 scenario cost: 91616.674091669454355724155902862548828125 Optimization Status: 2 scenario cost: 91616.674091669454355724155902862548828125 optimization time for scenario: 57 = 0.0542709827423095703125 scenario cost: 92310.579159542932757176458835601806640625 Optimization Status: 2 scenario cost: 92310.579159542932757176458835601806640625 optimization time for scenario: 58 = 0.0683791637420654296875 scenario cost: 100215.048416079618618823587894439697265625 Optimization Status: 2 scenario cost: 100215.048416079618618823587894439697265625 optimization time for scenario: 59 = 0.050882816314697265625 Sending cuts of back to the stg 1 solver Objective Value 15123.612988421562477014958858489990234375 memory usage: 112262264 received node: gen cut: Rental Cost 0 scenario cost: 78946.5269989487132988870143890380859375 Optimization Status: 2 scenario cost: 78946.5269989487132988870143890380859375 optimization time for scenario: 0 = 0.1326749324798583984375 scenario cost: 86414.822175473193055950105190277099609375 Optimization Status: 2 scenario cost: 86414.822175473193055950105190277099609375 optimization time for scenario: 1 = 0.0965569019317626953125 scenario cost: 90843.55384487591800279915332794189453125 Optimization Status: 2 scenario cost: 90843.55384487591800279915332794189453125 optimization time for scenario: 2 = 0.102839946746826171875 scenario cost: 91335.776909133070148527622222900390625 Optimization Status: 2 scenario cost: 91335.776909133070148527622222900390625 optimization time for scenario: 3 = 0.110929012298583984375 scenario cost: 97789.812320621902472339570522308349609375 Optimization Status: 2 scenario cost: 97789.812320621902472339570522308349609375 optimization time for scenario: 4 = 0.1171548366546630859375 scenario cost: 101406.3151415214524604380130767822265625 Optimization Status: 2 scenario cost: 101406.3151415214524604380130767822265625 optimization time for scenario: 5 = 0.102018833160400390625 scenario cost: 87452.997090759876300580799579620361328125 Optimization Status: 2 scenario cost: 87452.997090759876300580799579620361328125 optimization time for scenario: 6 = 0.07812404632568359375 scenario cost: 87874.91793098769267089664936065673828125 Optimization Status: 2 scenario cost: 87874.91793098769267089664936065673828125 optimization time for scenario: 7 = 0.0546219348907470703125 scenario cost: 80179.744432057530502788722515106201171875 Optimization Status: 2 scenario cost: 80179.744432057530502788722515106201171875 optimization time for scenario: 8 = 0.0550441741943359375 scenario cost: 98133.84508794583962298929691314697265625 Optimization Status: 2 scenario cost: 98133.84508794583962298929691314697265625 optimization time for scenario: 9 = 0.05247402191162109375 scenario cost: 88550.570760460876044817268848419189453125 Optimization Status: 2 scenario cost: 88550.570760460876044817268848419189453125 optimization time for scenario: 10 = 0.057631015777587890625 scenario cost: 73332.973557683624676428735256195068359375 Optimization Status: 2 scenario cost: 73332.973557683624676428735256195068359375 optimization time for scenario: 11 = 0.0511229038238525390625 scenario cost: 93384.09609941742382943630218505859375 Optimization Status: 2 scenario cost: 93384.09609941742382943630218505859375 optimization time for scenario: 12 = 0.0554249286651611328125 scenario cost: 89501.79455752696958370506763458251953125 Optimization Status: 2 scenario cost: 89501.79455752696958370506763458251953125 optimization time for scenario: 13 = 0.0560710430145263671875 scenario cost: 87864.793170036791707389056682586669921875 Optimization Status: 2 scenario cost: 87864.793170036791707389056682586669921875 optimization time for scenario: 14 = 0.116796016693115234375 scenario cost: 102569.5622646813280880451202392578125 Optimization Status: 2 scenario cost: 102569.5622646813280880451202392578125 optimization time for scenario: 15 = 0.0950920581817626953125 scenario cost: 86897.73566999341710470616817474365234375 Optimization Status: 2 scenario cost: 86897.73566999341710470616817474365234375 optimization time for scenario: 16 = 0.05368900299072265625 scenario cost: 83401.09340867036371491849422454833984375 Optimization Status: 2 scenario cost: 83401.09340867036371491849422454833984375 optimization time for scenario: 17 = 0.0544350147247314453125 scenario cost: 103772.32753618856077082455158233642578125 Optimization Status: 2 scenario cost: 103772.32753618856077082455158233642578125 optimization time for scenario: 18 = 0.054400920867919921875 scenario cost: 89268.5567776230163872241973876953125 Optimization Status: 2 scenario cost: 89268.5567776230163872241973876953125 optimization time for scenario: 19 = 0.05500698089599609375 Sending cuts of back to the stg 1 solver Objective Value 14990.95516706120179151184856891632080078125 memory usage: 112263784 received node: gen cut: Rental Cost 0 scenario cost: 77839.795259889811859466135501861572265625 Optimization Status: 2 scenario cost: 77839.795259889811859466135501861572265625 optimization time for scenario: 0 = 0.1885511875152587890625 scenario cost: 84700.10071730331401340663433074951171875 Optimization Status: 2 scenario cost: 84700.10071730331401340663433074951171875 optimization time for scenario: 1 = 0.1176640987396240234375 scenario cost: 88999.888401591204456053674221038818359375 Optimization Status: 2 scenario cost: 88999.888401591204456053674221038818359375 optimization time for scenario: 2 = 0.1185119152069091796875 scenario cost: 89433.415983675848110578954219818115234375 Optimization Status: 2 scenario cost: 89433.415983675848110578954219818115234375 optimization time for scenario: 3 = 0.133457183837890625 scenario cost: 95803.170223396344226785004138946533203125 Optimization Status: 2 scenario cost: 95803.170223396344226785004138946533203125 optimization time for scenario: 4 = 0.0600121021270751953125 scenario cost: 99556.168777712271548807621002197265625 Optimization Status: 2 scenario cost: 99556.168777712271548807621002197265625 optimization time for scenario: 5 = 0.056407928466796875 scenario cost: 85610.2425331260892562568187713623046875 Optimization Status: 2 scenario cost: 85610.2425331260892562568187713623046875 optimization time for scenario: 6 = 0.070969104766845703125 scenario cost: 85966.1270089317695237696170806884765625 Optimization Status: 2 scenario cost: 85966.1270089317695237696170806884765625 optimization time for scenario: 7 = 0.05828189849853515625 scenario cost: 78340.347249134021694771945476531982421875 Optimization Status: 2 scenario cost: 78340.347249134021694771945476531982421875 optimization time for scenario: 8 = 0.05552387237548828125 scenario cost: 96258.0251012808294035494327545166015625 Optimization Status: 2 scenario cost: 96258.0251012808294035494327545166015625 optimization time for scenario: 9 = 0.0577600002288818359375 scenario cost: 86646.06875007689814083278179168701171875 Optimization Status: 2 scenario cost: 86646.06875007689814083278179168701171875 optimization time for scenario: 10 = 0.0606720447540283203125 scenario cost: 72158.752742469892837107181549072265625 Optimization Status: 2 scenario cost: 72158.752742469892837107181549072265625 optimization time for scenario: 11 = 0.0573589801788330078125 scenario cost: 90555.319990558360586874186992645263671875 Optimization Status: 2 scenario cost: 90555.319990558360586874186992645263671875 optimization time for scenario: 12 = 0.0605628490447998046875 scenario cost: 86841.25303318010992370545864105224609375 Optimization Status: 2 scenario cost: 86841.25303318010992370545864105224609375 optimization time for scenario: 13 = 0.058620929718017578125 scenario cost: 86120.426246704228105954825878143310546875 Optimization Status: 2 scenario cost: 86120.426246704228105954825878143310546875 optimization time for scenario: 14 = 0.063433170318603515625 scenario cost: 100690.850863923915312625467777252197265625 Optimization Status: 2 scenario cost: 100690.850863923915312625467777252197265625 optimization time for scenario: 15 = 0.053427219390869140625 scenario cost: 84216.514823485937085933983325958251953125 Optimization Status: 2 scenario cost: 84216.514823485937085933983325958251953125 optimization time for scenario: 16 = 0.05516910552978515625 scenario cost: 81512.757527775247581303119659423828125 Optimization Status: 2 scenario cost: 81512.757527775247581303119659423828125 optimization time for scenario: 17 = 0.0579540729522705078125 scenario cost: 101874.86066330273752100765705108642578125 Optimization Status: 2 scenario cost: 101874.86066330273752100765705108642578125 optimization time for scenario: 18 = 0.05385303497314453125 scenario cost: 87413.979042735532857477664947509765625 Optimization Status: 2 scenario cost: 87413.979042735532857477664947509765625 optimization time for scenario: 19 = 0.0575940608978271484375 Sending cuts of back to the stg 1 solver Objective Value 14671.091856566623391699977219104766845703125 memory usage: 112265304 received node: gen cut: Rental Cost 0 scenario cost: 95214.46641569046187214553356170654296875 Optimization Status: 2 scenario cost: 95214.46641569046187214553356170654296875 optimization time for scenario: 60 = 0.0560591220855712890625 scenario cost: 78560.79796378800529055297374725341796875 Optimization Status: 2 scenario cost: 78560.79796378800529055297374725341796875 optimization time for scenario: 61 = 0.0558660030364990234375 scenario cost: 80084.8967135599814355373382568359375 Optimization Status: 2 scenario cost: 80084.8967135599814355373382568359375 optimization time for scenario: 62 = 0.058712005615234375 scenario cost: 80897.282870213719434104859828948974609375 Optimization Status: 2 scenario cost: 80897.282870213719434104859828948974609375 optimization time for scenario: 63 = 0.0570781230926513671875 scenario cost: 96085.280464246519841253757476806640625 Optimization Status: 2 scenario cost: 96085.280464246519841253757476806640625 optimization time for scenario: 64 = 0.0633618831634521484375 scenario cost: 97103.016276485941489227116107940673828125 Optimization Status: 2 scenario cost: 97103.016276485941489227116107940673828125 optimization time for scenario: 65 = 0.05325984954833984375 scenario cost: 88363.274192288910853676497936248779296875 Optimization Status: 2 scenario cost: 88363.274192288910853676497936248779296875 optimization time for scenario: 66 = 0.0594909191131591796875 scenario cost: 81237.079076280686422251164913177490234375 Optimization Status: 2 scenario cost: 81237.079076280686422251164913177490234375 optimization time for scenario: 67 = 0.060153961181640625 scenario cost: 81393.119369606734835542738437652587890625 Optimization Status: 2 scenario cost: 81393.119369606734835542738437652587890625 optimization time for scenario: 68 = 0.06620883941650390625 scenario cost: 85655.498532221768982708454132080078125 Optimization Status: 2 scenario cost: 85655.498532221768982708454132080078125 optimization time for scenario: 69 = 0.0603129863739013671875 scenario cost: 77393.293202401560847647488117218017578125 Optimization Status: 2 scenario cost: 77393.293202401560847647488117218017578125 optimization time for scenario: 70 = 0.066753864288330078125 scenario cost: 100596.713032277519232593476772308349609375 Optimization Status: 2 scenario cost: 100596.713032277519232593476772308349609375 optimization time for scenario: 71 = 0.097087860107421875 scenario cost: 94898.68927076758700422942638397216796875 Optimization Status: 2 scenario cost: 94898.68927076758700422942638397216796875 optimization time for scenario: 72 = 0.120604991912841796875 scenario cost: 95454.316990412116865627467632293701171875 Optimization Status: 2 scenario cost: 95454.316990412116865627467632293701171875 optimization time for scenario: 73 = 0.1585390567779541015625 scenario cost: 82023.71921306467265821993350982666015625 Optimization Status: 2 scenario cost: 82023.71921306467265821993350982666015625 optimization time for scenario: 74 = 0.128365993499755859375 scenario cost: 98895.716683431426645256578922271728515625 Optimization Status: 2 scenario cost: 98895.716683431426645256578922271728515625 optimization time for scenario: 75 = 0.16271686553955078125 scenario cost: 87534.376979328619199804961681365966796875 Optimization Status: 2 scenario cost: 87534.376979328619199804961681365966796875 optimization time for scenario: 76 = 0.121212005615234375 scenario cost: 89860.37716476127388887107372283935546875 Optimization Status: 2 scenario cost: 89860.37716476127388887107372283935546875 optimization time for scenario: 77 = 0.1195590496063232421875 scenario cost: 85984.28276715497486293315887451171875 Optimization Status: 2 scenario cost: 85984.28276715497486293315887451171875 optimization time for scenario: 78 = 0.106442928314208984375 scenario cost: 83007.549050215413444675505161285400390625 Optimization Status: 2 scenario cost: 83007.549050215413444675505161285400390625 optimization time for scenario: 79 = 0.0581090450286865234375 Sending cuts of back to the stg 1 solver Objective Value 14668.639210443439878872595727443695068359375 memory usage: 112266824 received node: gen cut: Rental Cost 0 scenario cost: 83922.881466093167546205222606658935546875 Optimization Status: 2 scenario cost: 83922.881466093167546205222606658935546875 optimization time for scenario: 40 = 0.11215496063232421875 scenario cost: 100249.61272713783546350896358489990234375 Optimization Status: 2 scenario cost: 100249.61272713783546350896358489990234375 optimization time for scenario: 41 = 0.0578110218048095703125 scenario cost: 87983.4280343440477736294269561767578125 Optimization Status: 2 scenario cost: 87983.4280343440477736294269561767578125 optimization time for scenario: 42 = 0.0665519237518310546875 scenario cost: 81375.979103330333600752055644989013671875 Optimization Status: 2 scenario cost: 81375.979103330333600752055644989013671875 optimization time for scenario: 43 = 0.068450927734375 scenario cost: 105242.1360007800976745784282684326171875 Optimization Status: 2 scenario cost: 105242.1360007800976745784282684326171875 optimization time for scenario: 44 = 0.0647170543670654296875 scenario cost: 85441.074931898663635365664958953857421875 Optimization Status: 2 scenario cost: 85441.074931898663635365664958953857421875 optimization time for scenario: 45 = 0.07302188873291015625 scenario cost: 87404.163474925895570777356624603271484375 Optimization Status: 2 scenario cost: 87404.163474925895570777356624603271484375 optimization time for scenario: 46 = 0.1236770153045654296875 scenario cost: 100111.08741481110337190330028533935546875 Optimization Status: 2 scenario cost: 100111.08741481110337190330028533935546875 optimization time for scenario: 47 = 0.1331779956817626953125 scenario cost: 94523.818131865424220450222492218017578125 Optimization Status: 2 scenario cost: 94523.818131865424220450222492218017578125 optimization time for scenario: 48 = 0.1287600994110107421875 scenario cost: 88420.34117261526989750564098358154296875 Optimization Status: 2 scenario cost: 88420.34117261526989750564098358154296875 optimization time for scenario: 49 = 0.10181713104248046875 scenario cost: 74085.3792795748449862003326416015625 Optimization Status: 2 scenario cost: 74085.3792795748449862003326416015625 optimization time for scenario: 50 = 0.1332399845123291015625 scenario cost: 109643.935514607510413043200969696044921875 Optimization Status: 2 scenario cost: 109643.935514607510413043200969696044921875 optimization time for scenario: 51 = 0.1121768951416015625