MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance sep1
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -510.08098600 (ANTIGONE) -510.08098440 (BARON) -510.08098440 (COUENNE) -510.08099500 (GUROBI) -510.08098440 (LINDO) -510.08098440 (SCIP) -723.50000000 (SHOT) |
Referencesⓘ | Kocis, Gary R and Grossmann, I E, A Modeling and Decomposition Strategy for the MINLP Optimization of Process Flowsheets, Computers and Chemical Engineering, 13:7, 1989, 797-819. |
Sourceⓘ | MINOPT Model Library model kocis87-2.dat |
Added to libraryⓘ | 01 May 2001 |
Problem typeⓘ | MBQCP |
#Variablesⓘ | 29 |
#Binary Variablesⓘ | 2 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 5 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 10 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 31 |
#Linear Constraintsⓘ | 25 |
#Quadratic Constraintsⓘ | 6 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 88 |
#Nonlinear Nonzeros in Jacobianⓘ | 12 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 12 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 1 |
Minimal blocksize in Hessian of Lagrangianⓘ | 5 |
Maximal blocksize in Hessian of Lagrangianⓘ | 5 |
Average blocksize in Hessian of Lagrangianⓘ | 5.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 2.5000e-02 |
Maximal coefficientⓘ | 5.0000e+01 |
Infeasibility of initial pointⓘ | 16.9 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 32 23 5 4 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 30 28 2 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 99 87 12 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,b28,b29,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; Binary Variables b28,b29; 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; e1.. - 0.55*x5 - 0.5*x6 + x7 =E= 0; e2.. - 0.45*x5 - 0.5*x6 + x8 =E= 0; e3.. -x25*x7 + x9 =E= 0; e4.. -x25*x8 + x10 =E= 0; e5.. -x26*x7 + x11 =E= 0; e6.. -x26*x8 + x12 =E= 0; e7.. -x27*x7 + x13 =E= 0; e8.. -x27*x8 + x14 =E= 0; e9.. - x7 + x9 + x11 + x13 + x15 =E= 0; e10.. - x8 + x10 + x12 + x14 + x16 =E= 0; e11.. - 0.85*x9 + x17 =E= 0; e12.. - 0.2*x10 + x18 =E= 0; e13.. - 0.15*x9 + x19 =E= 0; e14.. - 0.8*x10 + x20 =E= 0; e15.. - 0.975*x11 + x21 =E= 0; e16.. - 0.05*x12 + x22 =E= 0; e17.. - 0.025*x11 + x23 =E= 0; e18.. - 0.95*x12 + x24 =E= 0; e19.. x1 - x13 - x17 - x21 =E= 0; e20.. x2 - x14 - x18 - x22 =E= 0; e21.. x3 - x15 - x19 - x23 =E= 0; e22.. x4 - x16 - x20 - x24 =E= 0; e23.. x9 + x10 - 2.5*b29 =G= 0; e24.. x9 + x10 - 25*b29 =L= 0; e25.. x11 + x12 - 2.5*b28 =G= 0; e26.. x11 + x12 - 25*b28 =L= 0; e27.. x1 - 4*x2 =G= 0; e28.. - 3*x3 + x4 =G= 0; e29.. x1 + x2 =L= 15; e30.. x3 + x4 =L= 18; e31.. b28 + b29 =G= 1; e32.. 35*x1 + 30*x4 - 10*x5 - 8*x6 - x9 - x10 - 4*x11 - 4*x12 - 50*b28 - 2*b29 + objvar =E= 0; * set non-default bounds x1.up = 50; x2.up = 50; x3.up = 50; x4.up = 50; x5.up = 25; x6.up = 25; x7.up = 50; x8.up = 50; x9.up = 50; x10.up = 50; x11.up = 50; x12.up = 50; x13.up = 50; x14.up = 50; x15.up = 50; x16.up = 50; x17.up = 50; x18.up = 50; x19.up = 50; x20.up = 50; x21.up = 50; x22.up = 50; x23.up = 50; x24.up = 50; x25.up = 1; x26.up = 1; x27.up = 1; * set non-default levels x1.l = 10; x2.l = 2.5; x3.l = 4; x4.l = 14; x5.l = 8; x6.l = 25; x25.l = 0.1; x26.l = 0.1; x27.l = 0.1; b28.l = 0.5; b29.l = 0.5; 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