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Instance slay04m
Determine the optimal placement of a set of units with fixed width and length such that the Euclidean distance between their center point and a predefined "safety point" is minimized.
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | 9859.65900000 (ALPHAECP) 9859.65946900 (ANTIGONE) 9859.65970000 (BARON) 9859.65970000 (BONMIN) 9859.65950000 (COUENNE) 9859.65970800 (CPLEX) 9859.65970800 (GUROBI) 9859.65970800 (LINDO) 9859.65964000 (SCIP) 9859.65970800 (SHOT) |
Referencesⓘ | Sawaya, Nicolas W, Reformulations, relaxations and cutting planes for generalized disjunctive programming, PhD thesis, Carnegie Mellon University, 2006. |
Sourceⓘ | SLay04M.gms from CMU-IBM MINLP solver project page |
Applicationⓘ | Layout |
Added to libraryⓘ | 28 Sep 2013 |
Problem typeⓘ | MBQP |
#Variablesⓘ | 44 |
#Binary Variablesⓘ | 24 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 8 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | quadratic |
Objective curvatureⓘ | convex |
#Nonzeros in Objectiveⓘ | 20 |
#Nonlinear Nonzeros in Objectiveⓘ | 8 |
#Constraintsⓘ | 54 |
#Linear Constraintsⓘ | 54 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | linear |
#Nonzeros in Jacobianⓘ | 168 |
#Nonlinear Nonzeros in Jacobianⓘ | 0 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 8 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 8 |
#Blocks in Hessian of Lagrangianⓘ | 8 |
Minimal blocksize in Hessian of Lagrangianⓘ | 1 |
Maximal blocksize in Hessian of Lagrangianⓘ | 1 |
Average blocksize in Hessian of Lagrangianⓘ | 1.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.0000e+00 |
Maximal coefficientⓘ | 3.9000e+02 |
Infeasibility of initial pointⓘ | 2.5 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 55 7 24 24 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 45 21 24 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 189 181 8 0 * * Solve m using MINLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19 ,b20,b21,b22,b23,b24,b25,b26,b27,b28,b29,b30,b31,b32,x33,x34,x35,x36 ,x37,x38,x39,x40,x41,x42,x43,x44,objvar; Positive Variables x33,x34,x35,x36,x37,x38,x39,x40,x41,x42,x43,x44; Binary Variables b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19,b20,b21,b22,b23 ,b24,b25,b26,b27,b28,b29,b30,b31,b32; 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; e1.. -(150*(sqr((-4) + x1) + sqr((-10) + x5)) + 390*(sqr((-10) + x2) + sqr((-15 ) + x6)) + 240*(sqr((-7) + x3) + sqr((-9) + x7)) + 70*(sqr((-3) + x4) + sqr((-3) + x8))) - 300*x33 - 240*x34 - 210*x35 - 100*x36 - 150*x37 - 120*x38 - 300*x39 - 240*x40 - 210*x41 - 100*x42 - 150*x43 - 120*x44 + objvar =E= 0; e2.. - x1 + x2 + x33 =G= 0; e3.. - x1 + x3 + x34 =G= 0; e4.. - x1 + x4 + x35 =G= 0; e5.. - x2 + x3 + x36 =G= 0; e6.. - x2 + x4 + x37 =G= 0; e7.. - x3 + x4 + x38 =G= 0; e8.. x1 - x2 + x33 =G= 0; e9.. x1 - x3 + x34 =G= 0; e10.. x1 - x4 + x35 =G= 0; e11.. x2 - x3 + x36 =G= 0; e12.. x2 - x4 + x37 =G= 0; e13.. x3 - x4 + x38 =G= 0; e14.. - x5 + x6 + x39 =G= 0; e15.. - x5 + x7 + x40 =G= 0; e16.. - x5 + x8 + x41 =G= 0; e17.. - x6 + x7 + x42 =G= 0; e18.. - x6 + x8 + x43 =G= 0; e19.. - x7 + x8 + x44 =G= 0; e20.. x5 - x6 + x39 =G= 0; e21.. x5 - x7 + x40 =G= 0; e22.. x5 - x8 + x41 =G= 0; e23.. x6 - x7 + x42 =G= 0; e24.. x6 - x8 + x43 =G= 0; e25.. x7 - x8 + x44 =G= 0; e26.. x1 - x2 + 30*b9 =L= 24; e27.. x1 - x3 + 30*b10 =L= 26; e28.. x1 - x4 + 30*b11 =L= 26.5; e29.. x2 - x3 + 30*b12 =L= 25; e30.. x2 - x4 + 30*b13 =L= 25.5; e31.. x3 - x4 + 30*b14 =L= 27.5; e32.. - x1 + x2 + 30*b15 =L= 24; e33.. - x1 + x3 + 30*b16 =L= 26; e34.. - x1 + x4 + 30*b17 =L= 26.5; e35.. - x2 + x3 + 30*b18 =L= 25; e36.. - x2 + x4 + 30*b19 =L= 25.5; e37.. - x3 + x4 + 30*b20 =L= 27.5; e38.. x5 - x6 + 30*b21 =L= 24.5; e39.. x5 - x7 + 30*b22 =L= 25.5; e40.. x5 - x8 + 30*b23 =L= 25.5; e41.. x6 - x7 + 30*b24 =L= 26; e42.. x6 - x8 + 30*b25 =L= 26; e43.. x7 - x8 + 30*b26 =L= 27; e44.. - x5 + x6 + 30*b27 =L= 24.5; e45.. - x5 + x7 + 30*b28 =L= 25.5; e46.. - x5 + x8 + 30*b29 =L= 25.5; e47.. - x6 + x7 + 30*b30 =L= 26; e48.. - x6 + x8 + 30*b31 =L= 26; e49.. - x7 + x8 + 30*b32 =L= 27; e50.. b9 + b15 + b21 + b27 =E= 1; e51.. b10 + b16 + b22 + b28 =E= 1; e52.. b11 + b17 + b23 + b29 =E= 1; e53.. b12 + b18 + b24 + b30 =E= 1; e54.. b13 + b19 + b25 + b31 =E= 1; e55.. b14 + b20 + b26 + b32 =E= 1; * set non-default bounds x1.lo = 2.5; x1.up = 27.5; x2.lo = 3.5; x2.up = 26.5; x3.lo = 1.5; x3.up = 28.5; x4.lo = 1; x4.up = 29; x5.lo = 3; x5.up = 27; x6.lo = 2.5; x6.up = 27.5; x7.lo = 1.5; x7.up = 28.5; x8.lo = 1.5; x8.up = 28.5; 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: 2024-12-17 Git hash: 8eaceb91