MINLPLib

A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

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Instance fac2

Formats ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)
331837498.19999999 p1 ( gdx sol )
(infeas: 1e-14)
Other points (infeas > 1e-08)  
Dual Bounds
331837498.19999999 (ALPHAECP)
331837498.19999999 (ANTIGONE)
331837498.19999999 (BARON)
331837498.19999999 (BONMIN)
331837498.19999999 (COUENNE)
331837498.19999999 (LINDO)
331837498.19999999 (SCIP)
331837498.19999999 (SHOT)
Source MINOPT Model Library model facility2.dat
Application Multi-commodity capacity facility location-allocation
Added to library 01 May 2001
Problem type MBNLP
#Variables 66
#Binary Variables 12
#Integer Variables 0
#Nonlinear Variables 54
#Nonlinear Binary Variables 0
#Nonlinear Integer Variables 0
Objective Sense min
Objective type nonlinear
Objective curvature convex
#Nonzeros in Objective 57
#Nonlinear Nonzeros in Objective 54
#Constraints 33
#Linear Constraints 33
#Quadratic Constraints 0
#Polynomial Constraints 0
#Signomial Constraints 0
#General Nonlinear Constraints 0
Operands in Gen. Nonlin. Functions vcpower
Constraints curvature linear
#Nonzeros in Jacobian 159
#Nonlinear Nonzeros in Jacobian 0
#Nonzeros in (Upper-Left) Hessian of Lagrangian 972
#Nonzeros in Diagonal of Hessian of Lagrangian 54
#Blocks in Hessian of Lagrangian 3
Minimal blocksize in Hessian of Lagrangian 18
Maximal blocksize in Hessian of Lagrangian 18
Average blocksize in Hessian of Lagrangian 18.0
#Semicontinuities 0
#Nonlinear Semicontinuities 0
#SOS type 1 0
#SOS type 2 0
Minimal coefficient 1.0000e+00
Maximal coefficient 2.4814e+06
Infeasibility of initial point 1
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
*         34       22        3        9        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*         67       55       12        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*        217      163       54        0
*
*  Solve m using MINLP minimizing objvar;


Variables  x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18,x19
          ,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34,x35,x36
          ,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51,x52,x53
          ,x54,b55,b56,b57,b58,b59,b60,b61,b62,b63,b64,b65,b66,objvar;

Positive Variables  x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17
          ,x18,x19,x20,x21,x22,x23,x24,x25,x26,x27,x28,x29,x30,x31,x32,x33,x34
          ,x35,x36,x37,x38,x39,x40,x41,x42,x43,x44,x45,x46,x47,x48,x49,x50,x51
          ,x52,x53,x54;

Binary Variables  b55,b56,b57,b58,b59,b60,b61,b62,b63,b64,b65,b66;

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;


e1.. -(276.28*(x1 + x2 + x3 + x4 + x5 + x6 + x19 + x20 + x21 + x22 + x23 + x24
      + x37 + x38 + x39 + x40 + x41 + x42)**2.5 + 792.912*(x7 + x8 + x9 + x10
      + x11 + x12 + x25 + x26 + x27 + x28 + x29 + x30 + x43 + x44 + x45 + x46
      + x47 + x48)**2.5 + 991.679*(x13 + x14 + x15 + x16 + x17 + x18 + x31 + 
     x32 + x33 + x34 + x35 + x36 + x49 + x50 + x51 + x52 + x53 + x54)**2.5 + 
     115.274*x1 + 98.5559*x2 + 142.777*x3 + 33.9886*x4 + 163.087*x5 + 10.4376*
     x6 + 234.406*x7 + 142.066*x8 + 50.6436*x9 + 123.61*x10 + 242.356*x11 + 
     135.071*x12 + 10.7347*x13 + 56.0272*x14 + 14.912*x15 + 169.218*x16 + 
     209.028*x17 + 259.29*x18 + 165.41*x19 + 40.7497*x20 + 124.907*x21 + 18.495
     *x22 + 95.2789*x23 + 251.899*x24 + 114.185*x25 + 37.8148*x26 + 10.5547*x27
      + 52.5162*x28 + 37.4727*x29 + 254.843*x30 + 266.645*x31 + 136.583*x32 + 
     15.092*x33 + 194.101*x34 + 78.768*x35 + 120.36*x36 + 257.318*x37 + 172.747
     *x38 + 142.813*x39 + 251.331*x40 + 15.9113*x41 + 48.8251*x42 + 289.116*x43
      + 129.705*x44 + 275.621*x45 + 20.2235*x46 + 253.789*x47 + 56.7474*x48 + 
     201.646*x49 + 164.573*x50 + 295.157*x51 + 151.474*x52 + 221.794*x53 + 
     278.304*x54) - 2481400*b64 - 2156460*b65 - 2097730*b66 + objvar =E= 0;

e2..    x1 + x3 + x5 + x7 + x9 + x11 + x13 + x15 + x17 =L= 60;

e3..    x2 + x4 + x6 + x8 + x10 + x12 + x14 + x16 + x18 =L= 60;

e4..    x19 + x21 + x23 + x25 + x27 + x29 + x31 + x33 + x35 =L= 60;

e5..    x20 + x22 + x24 + x26 + x28 + x30 + x32 + x34 + x36 =L= 60;

e6..    x37 + x39 + x41 + x43 + x45 + x47 + x49 + x51 + x53 =L= 60;

e7..    x38 + x40 + x42 + x44 + x46 + x48 + x50 + x52 + x54 =L= 60;

e8..    x1 + x19 + x37 - 60*b55 =E= 0;

e9..    x2 + x20 + x38 - 60*b55 =E= 0;

e10..    x3 + x21 + x39 - 60*b56 =E= 0;

e11..    x4 + x22 + x40 - 60*b56 =E= 0;

e12..    x5 + x23 + x41 - 60*b57 =E= 0;

e13..    x6 + x24 + x42 - 60*b57 =E= 0;

e14..    x7 + x25 + x43 - 60*b58 =E= 0;

e15..    x8 + x26 + x44 - 60*b58 =E= 0;

e16..    x9 + x27 + x45 - 60*b59 =E= 0;

e17..    x10 + x28 + x46 - 60*b59 =E= 0;

e18..    x11 + x29 + x47 - 60*b60 =E= 0;

e19..    x12 + x30 + x48 - 60*b60 =E= 0;

e20..    x13 + x31 + x49 - 60*b61 =E= 0;

e21..    x14 + x32 + x50 - 60*b61 =E= 0;

e22..    x15 + x33 + x51 - 60*b62 =E= 0;

e23..    x16 + x34 + x52 - 60*b62 =E= 0;

e24..    x17 + x35 + x53 - 60*b63 =E= 0;

e25..    x18 + x36 + x54 - 60*b63 =E= 0;

e26..    120*b55 + 120*b56 + 120*b57 - 2749.5*b64 =L= 0;

e27..    120*b58 + 120*b59 + 120*b60 - 2872.94*b65 =L= 0;

e28..    120*b61 + 120*b62 + 120*b63 - 2508.06*b66 =L= 0;

e29..    120*b55 + 120*b56 + 120*b57 - 50*b64 =G= 0;

e30..    120*b58 + 120*b59 + 120*b60 - 50*b65 =G= 0;

e31..    120*b61 + 120*b62 + 120*b63 - 50*b66 =G= 0;

e32..    b55 + b58 + b61 =E= 1;

e33..    b56 + b59 + b62 =E= 1;

e34..    b57 + b60 + b63 =E= 1;

* set non-default bounds
x1.up = 1000;
x2.up = 1000;
x3.up = 1000;
x4.up = 1000;
x5.up = 1000;
x6.up = 1000;
x7.up = 1000;
x8.up = 1000;
x9.up = 1000;
x10.up = 1000;
x11.up = 1000;
x12.up = 1000;
x13.up = 1000;
x14.up = 1000;
x15.up = 1000;
x16.up = 1000;
x17.up = 1000;
x18.up = 1000;
x19.up = 1000;
x20.up = 1000;
x21.up = 1000;
x22.up = 1000;
x23.up = 1000;
x24.up = 1000;
x25.up = 1000;
x26.up = 1000;
x27.up = 1000;
x28.up = 1000;
x29.up = 1000;
x30.up = 1000;
x31.up = 1000;
x32.up = 1000;
x33.up = 1000;
x34.up = 1000;
x35.up = 1000;
x36.up = 1000;
x37.up = 1000;
x38.up = 1000;
x39.up = 1000;
x40.up = 1000;
x41.up = 1000;
x42.up = 1000;
x43.up = 1000;
x44.up = 1000;
x45.up = 1000;
x46.up = 1000;
x47.up = 1000;
x48.up = 1000;
x49.up = 1000;
x50.up = 1000;
x51.up = 1000;
x52.up = 1000;
x53.up = 1000;
x54.up = 1000;

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: 2024-08-26 Git hash: 6cc1607f
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