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Instance pooling_adhya2stp
STP formulation of pooling problem. Explicitly added RLT constraints were removed from the original formulation of Alfaki and Haugland.
Formatsⓘ | ams gms lp mod nl osil pip py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -549.80305380 (ANTIGONE) -549.80305080 (BARON) -549.80305910 (GUROBI) -549.80305020 (LINDO) -549.80306280 (SCIP) |
Referencesⓘ | Adhya, Nilanjan, Tawarmalani, Mohit, and Sahinidis, Nikolaos V., A Lagrangian Approach to the Pooling Problem, Industrial & Engineering Chemistry Research, 38:5, 1999, 1956-1972. Alfaki, Mohammed and Haugland, Dag, Strong formulations for the pooling problem, Journal of Global Optimization, 56:3, 2013, 897-916. |
Sourceⓘ | Adhya2.gms from Standard Pooling Problem Instances |
Applicationⓘ | Pooling problem |
Added to libraryⓘ | 12 Sep 2017 |
Problem typeⓘ | QCP |
#Variablesⓘ | 46 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 26 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | linear |
Objective curvatureⓘ | linear |
#Nonzeros in Objectiveⓘ | 19 |
#Nonlinear Nonzeros in Objectiveⓘ | 0 |
#Constraintsⓘ | 79 |
#Linear Constraintsⓘ | 39 |
#Quadratic Constraintsⓘ | 40 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | |
Constraints curvatureⓘ | indefinite |
#Nonzeros in Jacobianⓘ | 303 |
#Nonlinear Nonzeros in Jacobianⓘ | 80 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 80 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 0 |
#Blocks in Hessian of Lagrangianⓘ | 4 |
Minimal blocksize in Hessian of Lagrangianⓘ | 6 |
Maximal blocksize in Hessian of Lagrangianⓘ | 7 |
Average blocksize in Hessian of Lagrangianⓘ | 6.5 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.0000e-01 |
Maximal coefficientⓘ | 2.3000e+01 |
Infeasibility of initial pointⓘ | 1 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 80 45 0 35 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 47 47 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 323 243 80 0 * * Solve m using NLP minimizing objvar; Variables objvar,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; Positive Variables 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; 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.. objvar + 9*x28 + 18*x29 + 8*x30 + 3*x31 + 13*x32 + 22*x33 + 12*x34 + 7*x35 + 14*x36 + 23*x37 + 13*x38 + 8*x39 + 6*x40 + 15*x41 + 5*x42 + 11*x44 + 20*x45 + 10*x46 + 5*x47 =E= 0; e2.. x28 + x29 + x30 + x31 =L= 75; e3.. x32 + x33 + x34 + x35 =L= 75; e4.. x36 + x37 + x38 + x39 =L= 75; e5.. x40 + x41 + x42 + x43 =L= 75; e6.. x44 + x45 + x46 + x47 =L= 75; e7.. x28 + x29 + x30 + x31 + x32 + x33 + x34 + x35 =L= 75; e8.. x36 + x37 + x38 + x39 + x40 + x41 + x42 + x43 + x44 + x45 + x46 + x47 =L= 75; e9.. x28 + x32 + x36 + x40 + x44 =L= 10; e10.. x29 + x33 + x37 + x41 + x45 =L= 25; e11.. x30 + x34 + x38 + x42 + x46 =L= 30; e12.. x31 + x35 + x39 + x43 + x47 =L= 10; e13.. - 2*x28 + x32 + x36 - 2*x44 =L= 0; e14.. 3*x28 - 2*x32 + 2.5*x36 - 0.3*x44 =L= 0; e15.. 0.75*x28 - 0.25*x32 - 0.25*x36 - 0.25*x40 + 0.75*x44 =L= 0; e16.. - 0.25*x28 + 1.25*x32 + 0.15*x36 + 0.25*x40 + 0.85*x44 =L= 0; e17.. - x28 - 2*x32 + x36 - 3*x40 - 3*x44 =L= 0; e18.. 4*x28 - x32 + 5*x36 - x40 + 2*x44 =L= 0; e19.. - 3*x29 - x41 - 3*x45 =L= 0; e20.. 3.5*x29 - 1.5*x33 + 3*x37 + 0.5*x41 + 0.2*x45 =L= 0; e21.. 0.5*x29 - 0.5*x33 - 0.5*x37 - 0.5*x41 + 0.5*x45 =L= 0; e22.. - x29 + 0.5*x33 - 0.6*x37 - 0.5*x41 + 0.1*x45 =L= 0; e23.. - 2*x29 - 3*x33 - 4*x41 - 4*x45 =L= 0; e24.. 3*x29 - 2*x33 + 4*x37 - 2*x41 + x45 =L= 0; e25.. - 0.5*x30 + 2.5*x34 + 2.5*x38 + 1.5*x42 - 0.5*x46 =L= 0; e26.. 0.5*x30 - 4.5*x34 - 2.5*x42 - 2.8*x46 =L= 0; e27.. 0.1*x30 - 0.9*x34 - 0.9*x38 - 0.9*x42 + 0.1*x46 =L= 0; e28.. - 0.3*x30 + 1.2*x34 + 0.1*x38 + 0.2*x42 + 0.8*x46 =L= 0; e29.. - 2*x30 - 3*x34 - 4*x42 - 4*x46 =L= 0; e30.. 3*x30 - 2*x34 + 4*x38 - 2*x42 + x46 =L= 0; e31.. - 2*x31 + x35 + x39 - 2*x47 =L= 0; e32.. 2*x31 - 3*x35 + 1.5*x39 - x43 - 1.3*x47 =L= 0; e33.. - x35 - x39 - x43 =L= 0; e34.. - 1.3*x31 + 0.2*x35 - 0.9*x39 - 0.8*x43 - 0.2*x47 =L= 0; e35.. - 3*x31 - 4*x35 - x39 - 5*x43 - 5*x47 =L= 0; e36.. 3*x31 - 2*x35 + 4*x39 - 2*x43 + x47 =L= 0; e37.. x15 + x16 =E= 1; e38.. x17 + x18 + x19 =E= 1; e39.. x20 + x21 + x22 + x23 =E= 1; e40.. x24 + x25 + x26 + x27 =E= 1; e41.. -x15*x7 + x28 =E= 0; e42.. -x15*x8 + x29 =E= 0; e43.. -x15*x9 + x30 =E= 0; e44.. -x15*x10 + x31 =E= 0; e45.. -x16*x7 + x32 =E= 0; e46.. -x16*x8 + x33 =E= 0; e47.. -x16*x9 + x34 =E= 0; e48.. -x16*x10 + x35 =E= 0; e49.. -x17*x11 + x36 =E= 0; e50.. -x17*x12 + x37 =E= 0; e51.. -x17*x13 + x38 =E= 0; e52.. -x17*x14 + x39 =E= 0; e53.. -x18*x11 + x40 =E= 0; e54.. -x18*x12 + x41 =E= 0; e55.. -x18*x13 + x42 =E= 0; e56.. -x18*x14 + x43 =E= 0; e57.. -x19*x11 + x44 =E= 0; e58.. -x19*x12 + x45 =E= 0; e59.. -x19*x13 + x46 =E= 0; e60.. -x19*x14 + x47 =E= 0; e61.. -x20*x2 + x28 =E= 0; e62.. -x21*x2 + x29 =E= 0; e63.. -x22*x2 + x30 =E= 0; e64.. -x23*x2 + x31 =E= 0; e65.. -x20*x3 + x32 =E= 0; e66.. -x21*x3 + x33 =E= 0; e67.. -x22*x3 + x34 =E= 0; e68.. -x23*x3 + x35 =E= 0; e69.. -x24*x4 + x36 =E= 0; e70.. -x25*x4 + x37 =E= 0; e71.. -x26*x4 + x38 =E= 0; e72.. -x27*x4 + x39 =E= 0; e73.. -x24*x5 + x40 =E= 0; e74.. -x25*x5 + x41 =E= 0; e75.. -x26*x5 + x42 =E= 0; e76.. -x27*x5 + x43 =E= 0; e77.. -x24*x6 + x44 =E= 0; e78.. -x25*x6 + x45 =E= 0; e79.. -x26*x6 + x46 =E= 0; e80.. -x27*x6 + x47 =E= 0; * set non-default bounds x2.up = 75; x3.up = 75; x4.up = 75; x5.up = 75; x6.up = 75; x7.up = 10; x8.up = 25; x9.up = 30; x10.up = 10; x11.up = 10; x12.up = 25; x13.up = 30; x14.up = 10; x15.up = 1; x16.up = 1; x17.up = 1; x18.up = 1; x19.up = 1; x20.up = 1; x21.up = 1; x22.up = 1; x23.up = 1; x24.up = 1; x25.up = 1; x26.up = 1; x27.up = 1; x28.up = 10; x29.up = 25; x30.up = 30; x31.up = 10; x32.up = 10; x33.up = 25; x34.up = 30; x35.up = 10; x36.up = 10; x37.up = 25; x38.up = 30; x39.up = 10; x40.up = 10; x41.up = 25; x42.up = 30; x43.up = 10; x44.up = 10; x45.up = 25; x46.up = 30; x47.up = 10; Model m / all /; m.limrow=0; m.limcol=0; m.tolproj=0.0; $if NOT '%gams.u1%' == '' $include '%gams.u1%' $if not set NLP $set NLP NLP Solve m using %NLP% minimizing objvar;
Last updated: 2024-12-17 Git hash: 8eaceb91