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Instance sssd15-08persp

Stochastic Service System Design. Servers are modeled as M/M/1 queues, and a set of customers must be assigned to the servers which can be operated at different service levels. The objective is to minimize assignment and operating costs.
Perspective reformulation of sssd15-08.
Formats ams gms lp mod nl osil pip py
Primal Bounds (infeas ≤ 1e-08)
563365.31100000 p1 ( gdx sol )
(infeas: 4e-15)
562617.88180000 p2 ( gdx sol )
(infeas: 0)
Other points (infeas > 1e-08)  
Dual Bounds
380313.03630000 (ANTIGONE)
317495.90820000 (BARON)
323718.82360000 (COUENNE)
562617.85520000 (GUROBI)
562617.88180000 (LINDO)
482098.89900000 (SCIP)
2842.66848200 (SHOT)
References Elhedhli, Samir, Service System Design with Immobile Servers, Stochastic Demand, and Congestion, Manufacturing & Service Operations Management, 8:1, 2006, 92-97.
Günlük, Oktay and Linderoth, Jeff T, Perspective reformulations of mixed integer nonlinear programs with indicator variables, Mathematical Programming, 124:1-2, 2010, 183-205.
Günlük, Oktay and Linderoth, Jeff T, Perspective Reformulation and Applications. In Lee, Jon and Leyffer, Sven, Eds, Mixed Integer Nonlinear Programming, Springer, 2012, 61-89.
Application Service System Design
Added to library 24 Feb 2014
Problem type MBQCP
#Variables 176
#Binary Variables 144
#Integer Variables 0
#Nonlinear Variables 56
#Nonlinear Binary Variables 24
#Nonlinear Integer Variables 0
Objective Sense min
Objective type linear
Objective curvature linear
#Nonzeros in Objective 152
#Nonlinear Nonzeros in Objective 0
#Constraints 79
#Linear Constraints 55
#Quadratic Constraints 24
#Polynomial Constraints 0
#Signomial Constraints 0
#General Nonlinear Constraints 0
Operands in Gen. Nonlin. Functions  
Constraints curvature indefinite
#Nonzeros in Jacobian 408
#Nonlinear Nonzeros in Jacobian 72
#Nonzeros in (Upper-Left) Hessian of Lagrangian 144
#Nonzeros in Diagonal of Hessian of Lagrangian 0
#Blocks in Hessian of Lagrangian 8
Minimal blocksize in Hessian of Lagrangian 7
Maximal blocksize in Hessian of Lagrangian 7
Average blocksize in Hessian of Lagrangian 7.0
#Semicontinuities 0
#Nonlinear Semicontinuities 0
#SOS type 1 0
#SOS type 2 0
Minimal coefficient 5.3649e-01
Maximal coefficient 9.3203e+04
Infeasibility of initial point 0.3333
Sparsity Jacobian Sparsity of Objective Gradient and Jacobian
Sparsity Hessian of Lagrangian Sparsity of Hessian of Lagrangian

$offlisting
*  
*  Equation counts
*      Total        E        G        L        N        X        C        B
*         80       24        0       56        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*        177       33      144        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*        561      489       72        0
*
*  Solve m using MINLP minimizing objvar;


Variables  b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19
          ,b20,b21,b22,b23,b24,b25,b26,b27,b28,b29,b30,b31,b32,b33,b34,b35,b36
          ,b37,b38,b39,b40,b41,b42,b43,b44,b45,b46,b47,b48,b49,b50,b51,b52,b53
          ,b54,b55,b56,b57,b58,b59,b60,b61,b62,b63,b64,b65,b66,b67,b68,b69,b70
          ,b71,b72,b73,b74,b75,b76,b77,b78,b79,b80,b81,b82,b83,b84,b85,b86,b87
          ,b88,b89,b90,b91,b92,b93,b94,b95,b96,b97,b98,b99,b100,b101,b102,b103
          ,b104,b105,b106,b107,b108,b109,b110,b111,b112,b113,b114,b115,b116
          ,b117,b118,b119,b120,b121,b122,b123,b124,b125,b126,b127,b128,b129
          ,b130,b131,b132,b133,b134,b135,b136,b137,b138,b139,b140,b141,b142
          ,b143,b144,x145,x146,x147,x148,x149,x150,x151,x152,x153,x154,x155
          ,x156,x157,x158,x159,x160,x161,x162,x163,x164,x165,x166,x167,x168
          ,x169,x170,x171,x172,x173,x174,x175,x176,objvar;

Positive Variables  x145,x146,x147,x148,x149,x150,x151,x152,x153,x154,x155
          ,x156,x157,x158,x159,x160,x161,x162,x163,x164,x165,x166,x167,x168
          ,x169,x170,x171,x172,x173,x174,x175,x176;

Binary Variables  b1,b2,b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17
          ,b18,b19,b20,b21,b22,b23,b24,b25,b26,b27,b28,b29,b30,b31,b32,b33,b34
          ,b35,b36,b37,b38,b39,b40,b41,b42,b43,b44,b45,b46,b47,b48,b49,b50,b51
          ,b52,b53,b54,b55,b56,b57,b58,b59,b60,b61,b62,b63,b64,b65,b66,b67,b68
          ,b69,b70,b71,b72,b73,b74,b75,b76,b77,b78,b79,b80,b81,b82,b83,b84,b85
          ,b86,b87,b88,b89,b90,b91,b92,b93,b94,b95,b96,b97,b98,b99,b100,b101
          ,b102,b103,b104,b105,b106,b107,b108,b109,b110,b111,b112,b113,b114
          ,b115,b116,b117,b118,b119,b120,b121,b122,b123,b124,b125,b126,b127
          ,b128,b129,b130,b131,b132,b133,b134,b135,b136,b137,b138,b139,b140
          ,b141,b142,b143,b144;

Equations  e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
          ,e20,e21,e22,e23,e24,e25,e26,e27,e28,e29,e30,e31,e32,e33,e34,e35,e36
          ,e37,e38,e39,e40,e41,e42,e43,e44,e45,e46,e47,e48,e49,e50,e51,e52,e53
          ,e54,e55,e56,e57,e58,e59,e60,e61,e62,e63,e64,e65,e66,e67,e68,e69,e70
          ,e71,e72,e73,e74,e75,e76,e77,e78,e79,e80;


e1..  - 403.928572687557*b1 - 152.992741540361*b2 - 267.315589205704*b3
      - 401.957253171747*b4 - 239.900413376196*b5 - 172.190748942287*b6
      - 242.754569605376*b7 - 206.00422281341*b8 - 175.512360171018*b9
      - 12.4456890694952*b10 - 95.1129504127459*b11 - 163.523864888208*b12
      - 136.749750630694*b13 - 183.460227957173*b14 - 154.161364707845*b15
      - 58.2220762837777*b16 - 427.797333694278*b17 - 124.146285420687*b18
      - 281.762350319908*b19 - 416.122892408842*b20 - 286.880720364618*b21
      - 171.930365706852*b22 - 298.680284192437*b23 - 212.446553403468*b24
      - 334.799175421099*b25 - 166.360551160919*b26 - 261.524865566971*b27
      - 321.118189558705*b28 - 275.112120282415*b29 - 70.1440860194197*b30
      - 281.389498973428*b31 - 225.606388157132*b32 - 321.213816864959*b33
      - 71.9883302424501*b34 - 169.588450009557*b35 - 291.06773760337*b36
      - 283.136668462665*b37 - 418.102856274321*b38 - 323.382162238167*b39
      - 109.329676669547*b40 - 225.077476533111*b41 - 292.549188246279*b42
      - 256.821062390988*b43 - 181.735382103635*b44 - 361.637553977341*b45
      - 487.443715088842*b46 - 391.614198813426*b47 - 276.780369289256*b48
      - 790.809160300441*b49 - 572.306788163427*b50 - 710.561007303222*b51
      - 710.424717790653*b52 - 882.480677740369*b53 - 746.52609026712*b54
      - 932.032155531379*b55 - 673.014016071675*b56 - 415.137891763513*b57
      - 24.1331183147668*b58 - 232.723756037565*b59 - 385.530297939342*b60
      - 328.99787719123*b61 - 412.551506227386*b62 - 368.4253530904*b63
      - 149.097324374568*b64 - 505.111125566583*b65 - 324.408884140539*b66
      - 422.192328810933*b67 - 433.424841813569*b68 - 590.521463309364*b69
      - 601.187176017906*b70 - 639.549861073539*b71 - 393.266050752522*b72
      - 317.266722109018*b73 - 366.343507824765*b74 - 278.701740808319*b75
      - 360.414608909582*b76 - 163.468646330858*b77 - 496.33685624632*b78
      - 135.080317454783*b79 - 291.219332583259*b80 - 60.7098769607628*b81
      - 257.274009667912*b82 - 109.739073857234*b83 - 105.840898609517*b84
      - 149.608079935928*b85 - 478.2765537338*b86 - 175.640633384092*b87
      - 164.991725574781*b88 - 370.179004516539*b89 - 456.332727530502*b90
      - 323.598387892417*b91 - 428.625530616724*b92 - 176.797739228846*b93
      - 657.950143580026*b94 - 146.134286318179*b95 - 347.137285556827*b96
      - 459.855709875116*b97 - 206.994357545204*b98 - 317.109585585788*b99
      - 461.635447603175*b100 - 270.249812459436*b101 - 176.621455199898*b102
      - 266.565650581812*b103 - 255.042767652375*b104 - 688.990984467753*b105
      - 342.921309942336*b106 - 508.744698659858*b107 - 686.009170292228*b108
      - 457.444445796545*b109 - 133.755629117181*b110 - 451.235917636358*b111
      - 427.625644498357*b112 - 275.559617400364*b113 - 356.414463245256*b114
      - 238.594038182377*b115 - 323.736842820792*b116 - 123.509577347529*b117
      - 537.671376447504*b118 - 104.741456798329*b119 - 261.777653762851*b120
      - 343.78539425*b121 - 113.508450322244*b122 - 69.177220392612*b123
      - 264.047028*b124 - 87.3113122712859*b125 - 53.2512330089256*b126
      - 390.47730275*b127 - 123.63305929533*b128 - 73.7850337614663*b129
      - 406.29941025*b130 - 126.736316912988*b131 - 75.0745406137203*b132
      - 283.160272*b133 - 95.8513476067592*b134 - 59.1487898247813*b135
      - 422.01298775*b136 - 132.224826373859*b137 - 78.5002039603394*b138
      - 269.10096475*b139 - 95.9362994616171*b140 - 60.754974511923*b141
      - 395.712942*b142 - 123.433440930338*b143 - 73.1178281922949*b144
      - 93203.2155531379*x145 - 93203.2155531379*x146 - 93203.2155531379*x147
      - 93203.2155531379*x148 - 93203.2155531379*x149 - 93203.2155531379*x150
      - 93203.2155531379*x151 - 93203.2155531379*x152 + objvar =E= 0;

e2..    0.934836132*b1 + 0.594101056*b9 + 1.006108092*b17 + 0.536490725*b25
      + 1.208018103*b33 + 0.741534279*b41 + 1.434929666*b49 + 1.362989351*b57
      + 1.354757088*b65 + 0.875104896*b73 + 0.83020157*b81 + 1.181151032*b89
      + 0.985426772*b97 + 1.234184015*b105 + 0.980634977*b113
      - 1.54666509375*x153 - 3.0933301875*x154 - 4.63999528125*x155 =E= 0;

e3..    0.934836132*b2 + 0.594101056*b10 + 1.006108092*b18 + 0.536490725*b26
      + 1.208018103*b34 + 0.741534279*b42 + 1.434929666*b50 + 1.362989351*b58
      + 1.354757088*b66 + 0.875104896*b74 + 0.83020157*b82 + 1.181151032*b90
      + 0.985426772*b98 + 1.234184015*b106 + 0.980634977*b114
      - 1.19326126546875*x156 - 2.3865225309375*x157 - 3.57978379640625*x158
      =E= 0;

e4..    0.934836132*b3 + 0.594101056*b11 + 1.006108092*b19 + 0.536490725*b27
      + 1.208018103*b35 + 0.741534279*b43 + 1.434929666*b51 + 1.362989351*b59
      + 1.354757088*b67 + 0.875104896*b75 + 0.83020157*b83 + 1.181151032*b91
      + 0.985426772*b99 + 1.234184015*b107 + 0.980634977*b115
      - 1.54916706890625*x159 - 3.0983341378125*x160 - 4.64750120671875*x161
      =E= 0;

e5..    0.934836132*b4 + 0.594101056*b12 + 1.006108092*b20 + 0.536490725*b28
      + 1.208018103*b36 + 0.741534279*b44 + 1.434929666*b52 + 1.362989351*b60
      + 1.354757088*b68 + 0.875104896*b76 + 0.83020157*b84 + 1.181151032*b92
      + 0.985426772*b100 + 1.234184015*b108 + 0.980634977*b116
      - 1.54133366953125*x162 - 3.0826673390625*x163 - 4.62400100859375*x164
      =E= 0;

e6..    0.934836132*b5 + 0.594101056*b13 + 1.006108092*b21 + 0.536490725*b29
      + 1.208018103*b37 + 0.741534279*b45 + 1.434929666*b53 + 1.362989351*b61
      + 1.354757088*b69 + 0.875104896*b77 + 0.83020157*b85 + 1.181151032*b93
      + 0.985426772*b101 + 1.234184015*b109 + 0.980634977*b117
      - 1.3728304284375*x165 - 2.745660856875*x166 - 4.1184912853125*x167 =E= 0
     ;

e7..    0.934836132*b6 + 0.594101056*b14 + 1.006108092*b22 + 0.536490725*b30
      + 1.208018103*b38 + 0.741534279*b46 + 1.434929666*b54 + 1.362989351*b62
      + 1.354757088*b70 + 0.875104896*b78 + 0.83020157*b86 + 1.181151032*b94
      + 0.985426772*b102 + 1.234184015*b110 + 0.980634977*b118
      - 1.6224571809375*x168 - 3.244914361875*x169 - 4.8673715428125*x170 =E= 0
     ;

e8..    0.934836132*b7 + 0.594101056*b15 + 1.006108092*b23 + 0.536490725*b31
      + 1.208018103*b39 + 0.741534279*b47 + 1.434929666*b55 + 1.362989351*b63
      + 1.354757088*b71 + 0.875104896*b79 + 0.83020157*b87 + 1.181151032*b95
      + 0.985426772*b103 + 1.234184015*b111 + 0.980634977*b119
      - 1.52407353515625*x171 - 3.0481470703125*x172 - 4.57222060546875*x173
      =E= 0;

e9..    0.934836132*b8 + 0.594101056*b16 + 1.006108092*b24 + 0.536490725*b32
      + 1.208018103*b40 + 0.741534279*b48 + 1.434929666*b56 + 1.362989351*b64
      + 1.354757088*b72 + 0.875104896*b80 + 0.83020157*b88 + 1.181151032*b96
      + 0.985426772*b104 + 1.234184015*b112 + 0.980634977*b120
      - 1.50114900421875*x174 - 3.0022980084375*x175 - 4.50344701265625*x176
      =E= 0;

e10..    b1 + b2 + b3 + b4 + b5 + b6 + b7 + b8 =E= 1;

e11..    b9 + b10 + b11 + b12 + b13 + b14 + b15 + b16 =E= 1;

e12..    b17 + b18 + b19 + b20 + b21 + b22 + b23 + b24 =E= 1;

e13..    b25 + b26 + b27 + b28 + b29 + b30 + b31 + b32 =E= 1;

e14..    b33 + b34 + b35 + b36 + b37 + b38 + b39 + b40 =E= 1;

e15..    b41 + b42 + b43 + b44 + b45 + b46 + b47 + b48 =E= 1;

e16..    b49 + b50 + b51 + b52 + b53 + b54 + b55 + b56 =E= 1;

e17..    b57 + b58 + b59 + b60 + b61 + b62 + b63 + b64 =E= 1;

e18..    b65 + b66 + b67 + b68 + b69 + b70 + b71 + b72 =E= 1;

e19..    b73 + b74 + b75 + b76 + b77 + b78 + b79 + b80 =E= 1;

e20..    b81 + b82 + b83 + b84 + b85 + b86 + b87 + b88 =E= 1;

e21..    b89 + b90 + b91 + b92 + b93 + b94 + b95 + b96 =E= 1;

e22..    b97 + b98 + b99 + b100 + b101 + b102 + b103 + b104 =E= 1;

e23..    b105 + b106 + b107 + b108 + b109 + b110 + b111 + b112 =E= 1;

e24..    b113 + b114 + b115 + b116 + b117 + b118 + b119 + b120 =E= 1;

e25..    b121 + b122 + b123 =L= 1;

e26..    b124 + b125 + b126 =L= 1;

e27..    b127 + b128 + b129 =L= 1;

e28..    b130 + b131 + b132 =L= 1;

e29..    b133 + b134 + b135 =L= 1;

e30..    b136 + b137 + b138 =L= 1;

e31..    b139 + b140 + b141 =L= 1;

e32..    b142 + b143 + b144 =L= 1;

e33..  - b121 + x153 =L= 0;

e34..  - b122 + x154 =L= 0;

e35..  - b123 + x155 =L= 0;

e36..  - b124 + x156 =L= 0;

e37..  - b125 + x157 =L= 0;

e38..  - b126 + x158 =L= 0;

e39..  - b127 + x159 =L= 0;

e40..  - b128 + x160 =L= 0;

e41..  - b129 + x161 =L= 0;

e42..  - b130 + x162 =L= 0;

e43..  - b131 + x163 =L= 0;

e44..  - b132 + x164 =L= 0;

e45..  - b133 + x165 =L= 0;

e46..  - b134 + x166 =L= 0;

e47..  - b135 + x167 =L= 0;

e48..  - b136 + x168 =L= 0;

e49..  - b137 + x169 =L= 0;

e50..  - b138 + x170 =L= 0;

e51..  - b139 + x171 =L= 0;

e52..  - b140 + x172 =L= 0;

e53..  - b141 + x173 =L= 0;

e54..  - b142 + x174 =L= 0;

e55..  - b143 + x175 =L= 0;

e56..  - b144 + x176 =L= 0;

e57.. x153*b121 + x153*x145 - x145*b121 =L= 0;

e58.. x154*b122 + x154*x145 - x145*b122 =L= 0;

e59.. x155*b123 + x155*x145 - x145*b123 =L= 0;

e60.. x156*b124 + x156*x146 - x146*b124 =L= 0;

e61.. x157*b125 + x157*x146 - x146*b125 =L= 0;

e62.. x158*b126 + x158*x146 - x146*b126 =L= 0;

e63.. x159*b127 + x159*x147 - x147*b127 =L= 0;

e64.. x160*b128 + x160*x147 - x147*b128 =L= 0;

e65.. x161*b129 + x161*x147 - x147*b129 =L= 0;

e66.. x162*b130 + x162*x148 - x148*b130 =L= 0;

e67.. x163*b131 + x163*x148 - x148*b131 =L= 0;

e68.. x164*b132 + x164*x148 - x148*b132 =L= 0;

e69.. x165*b133 + x165*x149 - x149*b133 =L= 0;

e70.. x166*b134 + x166*x149 - x149*b134 =L= 0;

e71.. x167*b135 + x167*x149 - x149*b135 =L= 0;

e72.. x168*b136 + x168*x150 - x150*b136 =L= 0;

e73.. x169*b137 + x169*x150 - x150*b137 =L= 0;

e74.. x170*b138 + x170*x150 - x150*b138 =L= 0;

e75.. x171*b139 + x171*x151 - x151*b139 =L= 0;

e76.. x172*b140 + x172*x151 - x151*b140 =L= 0;

e77.. x173*b141 + x173*x151 - x151*b141 =L= 0;

e78.. x174*b142 + x174*x152 - x152*b142 =L= 0;

e79.. x175*b143 + x175*x152 - x152*b143 =L= 0;

e80.. x176*b144 + x176*x152 - x152*b144 =L= 0;

* set non-default levels
b1.l = 0.125;
b2.l = 0.125;
b3.l = 0.125;
b4.l = 0.125;
b5.l = 0.125;
b6.l = 0.125;
b7.l = 0.125;
b8.l = 0.125;
b9.l = 0.125;
b10.l = 0.125;
b11.l = 0.125;
b12.l = 0.125;
b13.l = 0.125;
b14.l = 0.125;
b15.l = 0.125;
b16.l = 0.125;
b17.l = 0.125;
b18.l = 0.125;
b19.l = 0.125;
b20.l = 0.125;
b21.l = 0.125;
b22.l = 0.125;
b23.l = 0.125;
b24.l = 0.125;
b25.l = 0.125;
b26.l = 0.125;
b27.l = 0.125;
b28.l = 0.125;
b29.l = 0.125;
b30.l = 0.125;
b31.l = 0.125;
b32.l = 0.125;
b33.l = 0.125;
b34.l = 0.125;
b35.l = 0.125;
b36.l = 0.125;
b37.l = 0.125;
b38.l = 0.125;
b39.l = 0.125;
b40.l = 0.125;
b41.l = 0.125;
b42.l = 0.125;
b43.l = 0.125;
b44.l = 0.125;
b45.l = 0.125;
b46.l = 0.125;
b47.l = 0.125;
b48.l = 0.125;
b49.l = 0.125;
b50.l = 0.125;
b51.l = 0.125;
b52.l = 0.125;
b53.l = 0.125;
b54.l = 0.125;
b55.l = 0.125;
b56.l = 0.125;
b57.l = 0.125;
b58.l = 0.125;
b59.l = 0.125;
b60.l = 0.125;
b61.l = 0.125;
b62.l = 0.125;
b63.l = 0.125;
b64.l = 0.125;
b65.l = 0.125;
b66.l = 0.125;
b67.l = 0.125;
b68.l = 0.125;
b69.l = 0.125;
b70.l = 0.125;
b71.l = 0.125;
b72.l = 0.125;
b73.l = 0.125;
b74.l = 0.125;
b75.l = 0.125;
b76.l = 0.125;
b77.l = 0.125;
b78.l = 0.125;
b79.l = 0.125;
b80.l = 0.125;
b81.l = 0.125;
b82.l = 0.125;
b83.l = 0.125;
b84.l = 0.125;
b85.l = 0.125;
b86.l = 0.125;
b87.l = 0.125;
b88.l = 0.125;
b89.l = 0.125;
b90.l = 0.125;
b91.l = 0.125;
b92.l = 0.125;
b93.l = 0.125;
b94.l = 0.125;
b95.l = 0.125;
b96.l = 0.125;
b97.l = 0.125;
b98.l = 0.125;
b99.l = 0.125;
b100.l = 0.125;
b101.l = 0.125;
b102.l = 0.125;
b103.l = 0.125;
b104.l = 0.125;
b105.l = 0.125;
b106.l = 0.125;
b107.l = 0.125;
b108.l = 0.125;
b109.l = 0.125;
b110.l = 0.125;
b111.l = 0.125;
b112.l = 0.125;
b113.l = 0.125;
b114.l = 0.125;
b115.l = 0.125;
b116.l = 0.125;
b117.l = 0.125;
b118.l = 0.125;
b119.l = 0.125;
b120.l = 0.125;
b121.l = 0.333333333333333;
b122.l = 0.333333333333333;
b123.l = 0.333333333333333;
b124.l = 0.333333333333333;
b125.l = 0.333333333333333;
b126.l = 0.333333333333333;
b127.l = 0.333333333333333;
b128.l = 0.333333333333333;
b129.l = 0.333333333333333;
b130.l = 0.333333333333333;
b131.l = 0.333333333333333;
b132.l = 0.333333333333333;
b133.l = 0.333333333333333;
b134.l = 0.333333333333333;
b135.l = 0.333333333333333;
b136.l = 0.333333333333333;
b137.l = 0.333333333333333;
b138.l = 0.333333333333333;
b139.l = 0.333333333333333;
b140.l = 0.333333333333333;
b141.l = 0.333333333333333;
b142.l = 0.333333333333333;
b143.l = 0.333333333333333;
b144.l = 0.333333333333333;
x145.l = 1.6087063301402;
x146.l = 3.98267557388175;
x147.l = 1.60194612605143;
x148.l = 1.62330360892806;
x149.l = 2.27604466639882;
x150.l = 1.42636562172377;
x151.l = 1.67243339752216;
x152.l = 1.74247700111916;
x153.l = 0.205556078576023;
x154.l = 0.205556078576023;
x155.l = 0.205556078576023;
x156.l = 0.266434871173645;
x157.l = 0.266434871173645;
x158.l = 0.266434871173645;
x159.l = 0.205224096175844;
x160.l = 0.205224096175844;
x161.l = 0.205224096175844;
x162.l = 0.206267090524503;
x163.l = 0.206267090524503;
x164.l = 0.206267090524503;
x165.l = 0.231584618869147;
x166.l = 0.231584618869147;
x167.l = 0.231584618869147;
x168.l = 0.195953653062178;
x169.l = 0.195953653062178;
x170.l = 0.195953653062178;
x171.l = 0.208603065539795;
x172.l = 0.208603065539795;
x173.l = 0.208603065539795;
x174.l = 0.211788710280048;
x175.l = 0.211788710280048;
x176.l = 0.211788710280048;

Model m / all /;

m.limrow=0; m.limcol=0;
m.tolproj=0.0;

$if NOT '%gams.u1%' == '' $include '%gams.u1%'

$if not set MINLP $set MINLP MINLP
Solve m using %MINLP% minimizing objvar;


Last updated: 2022-05-24 Git hash: 1198c186
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