MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance ex1233
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 149694.48460000 (ANTIGONE) 155010.67130000 (BARON) 147870.62200000 (COUENNE) 154969.44160000 (LINDO) 154825.76050000 (SCIP) 0.00000000 (SHOT) |
Referencesⓘ | Floudas, C A, Pardalos, Panos M, Adjiman, C S, Esposito, W R, Gumus, Zeynep H, Harding, S T, Klepeis, John L, Meyer, Clifford A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Publishers, 1999. Yee, Terrence F and Grossmann, I E, Simultaneous Optimization of Models for Heat Integration - II. Heat Exchanger Network Synthesis, Computers and Chemical Engineering, 14:10, 1990, 1165-1184. |
Sourceⓘ | Test Problem ex12.3.3 of Chapter 12 of Floudas e.a. handbook |
Applicationⓘ | Simultaneous Optimization for HEN Synthesis |
Added to libraryⓘ | 01 May 2001 |
Problem typeⓘ | MBNLP |
#Variablesⓘ | 52 |
#Binary Variablesⓘ | 12 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 28 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | nonlinear |
Objective curvatureⓘ | indefinite |
#Nonzeros in Objectiveⓘ | 40 |
#Nonlinear Nonzeros in Objectiveⓘ | 28 |
#Constraintsⓘ | 64 |
#Linear Constraintsⓘ | 64 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | div mul vcpower |
Constraints curvatureⓘ | linear |
#Nonzeros in Jacobianⓘ | 180 |
#Nonlinear Nonzeros in Jacobianⓘ | 0 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 72 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 16 |
#Blocks in Hessian of Lagrangianⓘ | 8 |
Minimal blocksize in Hessian of Lagrangianⓘ | 2 |
Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
Average blocksize in Hessian of Lagrangianⓘ | 3.5 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 3.3330e-01 |
Maximal coefficientⓘ | 5.5000e+03 |
Infeasibility of initial pointⓘ | 4400 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 65 21 0 44 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 53 41 12 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 221 193 28 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,b41,b42,b43,b44,b45,b46,b47,b48,b49,b50,b51,b52 ,objvar; Positive Variables x13,x14,x15,x16,x17,x18,x19,x20,x21,x22,x23,x24; Binary Variables b41,b42,b43,b44,b45,b46,b47,b48,b49,b50,b51,b52; 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; e1.. -(300*x13/(0.5*x25*x26*(x25 + x26))**0.3333 + 300*x14/(0.5*x26*x27*(x26 + x27))**0.3333 + 300*x15/(0.5*x28*x29*(x28 + x29))**0.3333 + 300*x16/(0.5* x29*x30*(x29 + x30))**0.3333 + 300*x17/(0.5*x31*x32*(x31 + x32))**0.3333 + 300*x18/(0.5*x32*x33*(x32 + x33))**0.3333 + 300*x19/(0.5*x34*x35*(x34 + x35))**0.3333 + 300*x20/(0.5*x35*x36*(x35 + x36))**0.3333 + 300*x21/(35 *x37*(70 + x37))**0.33333 + 300*x22/(35*x38*(70 + x38))**0.33333 + 180*x23 /(15*x39*(30 + x39))**0.33333 + 180*x24/(90*x40*(180 + x40))**0.33333 + 80 *x23 + 80*x24 + 15*x21 + 15*x22) - 5500*b41 - 5500*b42 - 5500*b43 - 5500*b44 - 5500*b45 - 5500*b46 - 5500*b47 - 5500*b48 - 5500*b49 - 5500*b50 - 5500*b51 - 5500*b52 + objvar =E= 0; e2.. x13 + x14 + x15 + x16 + x21 =E= 2800; e3.. x17 + x18 + x19 + x20 + x22 =E= 4400; e4.. x13 + x14 + x17 + x18 + x23 =E= 3600; e5.. x15 + x16 + x19 + x20 + x24 =E= 1950; e6.. 10*x1 - 10*x2 - x13 - x15 =E= 0; e7.. 10*x2 - 10*x3 - x14 - x16 =E= 0; e8.. 20*x4 - 20*x5 - x17 - x19 =E= 0; e9.. 20*x5 - 20*x6 - x18 - x20 =E= 0; e10.. 15*x7 - 15*x8 - x13 - x17 =E= 0; e11.. 15*x8 - 15*x9 - x14 - x18 =E= 0; e12.. 13*x10 - 13*x11 - x15 - x19 =E= 0; e13.. 13*x11 - 13*x12 - x16 - x20 =E= 0; e14.. x1 =E= 650; e15.. x4 =E= 590; e16.. x9 =E= 410; e17.. x12 =E= 350; e18.. - x1 + x2 =L= 0; e19.. - x2 + x3 =L= 0; e20.. - x4 + x5 =L= 0; e21.. - x5 + x6 =L= 0; e22.. - x7 + x8 =L= 0; e23.. - x8 + x9 =L= 0; e24.. - x10 + x11 =L= 0; e25.. - x11 + x12 =L= 0; e26.. - x3 =L= -370; e27.. - x6 =L= -370; e28.. x7 =L= 650; e29.. x10 =L= 500; e30.. 10*x3 - x21 =E= 3700; e31.. 20*x6 - x22 =E= 7400; e32.. 15*x7 + x23 =E= 9750; e33.. 13*x10 + x24 =E= 6500; e34.. x13 - 2800*b41 =L= 0; e35.. x14 - 2800*b42 =L= 0; e36.. x15 - 1950*b43 =L= 0; e37.. x16 - 1950*b44 =L= 0; e38.. x17 - 3600*b45 =L= 0; e39.. x18 - 3600*b46 =L= 0; e40.. x19 - 1950*b47 =L= 0; e41.. x20 - 1950*b48 =L= 0; e42.. x21 - 2800*b49 =L= 0; e43.. x22 - 4400*b50 =L= 0; e44.. x23 - 3600*b51 =L= 0; e45.. x24 - 1950*b52 =L= 0; e46.. - x1 + x7 + x25 + 280*b41 =L= 280; e47.. - x2 + x8 + x26 + 130*b42 =L= 130; e48.. - x1 + x10 + x28 + 280*b43 =L= 280; e49.. - x2 + x11 + x29 + 150*b44 =L= 150; e50.. - x4 + x7 + x31 + 280*b45 =L= 280; e51.. - x5 + x8 + x32 + 130*b46 =L= 130; e52.. - x4 + x10 + x34 + 280*b47 =L= 280; e53.. - x5 + x11 + x35 + 150*b48 =L= 150; e54.. - x2 + x8 + x26 + 280*b41 =L= 280; e55.. - x3 + x9 + x27 + 130*b42 =L= 130; e56.. - x2 + x11 + x29 + 280*b43 =L= 280; e57.. - x3 + x12 + x30 + 150*b44 =L= 150; e58.. - x5 + x8 + x32 + 280*b45 =L= 280; e59.. - x6 + x9 + x33 + 130*b46 =L= 130; e60.. - x5 + x11 + x35 + 280*b47 =L= 280; e61.. - x6 + x12 + x36 + 150*b48 =L= 150; e62.. - x3 + x37 =L= -320; e63.. - x6 + x38 =L= -320; e64.. x7 + x39 =L= 680; e65.. x10 + x40 =L= 680; * set non-default bounds x1.lo = 370; x1.up = 650; x2.lo = 370; x2.up = 650; x3.lo = 370; x3.up = 650; x4.lo = 370; x4.up = 590; x5.lo = 370; x5.up = 590; x6.lo = 370; x6.up = 590; x7.lo = 410; x7.up = 650; x8.lo = 410; x8.up = 650; x9.lo = 410; x9.up = 650; x10.lo = 350; x10.up = 500; x11.lo = 350; x11.up = 500; x12.lo = 350; x12.up = 500; x25.lo = 10; x26.lo = 10; x27.lo = 10; x28.lo = 10; x29.lo = 10; x30.lo = 10; x31.lo = 10; x32.lo = 10; x33.lo = 10; x34.lo = 10; x35.lo = 10; x36.lo = 10; x37.lo = 10; x38.lo = 10; x39.lo = 10; x40.lo = 10; 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: 2024-12-17 Git hash: 8eaceb91