MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance gear2
| Formatsⓘ | ams gms mod nl osil py |
| Primal Bounds (infeas ≤ 1e-08)ⓘ | |
| Other points (infeas > 1e-08)ⓘ | |
| Dual Boundsⓘ | -0.00000000 (ANTIGONE) -0.00000000 (BARON) 0.00000000 (COUENNE) 0.00000000 (LINDO) 0.00000000 (SCIP) 0.00000000 (SHOT) |
| Referencesⓘ | Deb, Kalyanmoy and Goyal, Mayank, Optimizing Engineering Designs Using a Combined Genetic Search. In Bäck, Thomas, Ed, Proceedings of the Seventh International Conference on Genetic Algorithms, 1997, 521-528. |
| Sourceⓘ | GAMS Model Library model gear, modified MacMINLP model geartrain.mod |
| Applicationⓘ | Gear Train Design |
| Added to libraryⓘ | 01 May 2001 |
| Problem typeⓘ | MBNLP |
| #Variablesⓘ | 28 |
| #Binary Variablesⓘ | 24 |
| #Integer Variablesⓘ | 0 |
| #Nonlinear Variablesⓘ | 4 |
| #Nonlinear Binary Variablesⓘ | 0 |
| #Nonlinear Integer Variablesⓘ | 0 |
| Objective Senseⓘ | min |
| Objective typeⓘ | signomial |
| Objective curvatureⓘ | nonconcave |
| #Nonzeros in Objectiveⓘ | 4 |
| #Nonlinear Nonzeros in Objectiveⓘ | 4 |
| #Constraintsⓘ | 4 |
| #Linear Constraintsⓘ | 4 |
| #Quadratic Constraintsⓘ | 0 |
| #Polynomial Constraintsⓘ | 0 |
| #Signomial Constraintsⓘ | 0 |
| #General Nonlinear Constraintsⓘ | 0 |
| Operands in Gen. Nonlin. Functionsⓘ | |
| Constraints curvatureⓘ | linear |
| #Nonzeros in Jacobianⓘ | 28 |
| #Nonlinear Nonzeros in Jacobianⓘ | 0 |
| #Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 16 |
| #Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 4 |
| #Blocks in Hessian of Lagrangianⓘ | 1 |
| Minimal blocksize in Hessian of Lagrangianⓘ | 4 |
| Maximal blocksize in Hessian of Lagrangianⓘ | 4 |
| Average blocksize in Hessian of Lagrangianⓘ | 4.0 |
| #Semicontinuitiesⓘ | 0 |
| #Nonlinear Semicontinuitiesⓘ | 0 |
| #SOS type 1ⓘ | 0 |
| #SOS type 2ⓘ | 0 |
| Minimal coefficientⓘ | 1.4428e-01 |
| Maximal coefficientⓘ | 3.2000e+01 |
| Infeasibility of initial pointⓘ | 12 |
| Sparsity Jacobianⓘ | ![]() |
| Sparsity Hessian of Lagrangianⓘ | ![]() |
$offlisting
*
* Equation counts
* Total E G L N X C B
* 5 5 0 0 0 0 0 0
*
* Variable counts
* x b i s1s s2s sc si
* Total cont binary integer sos1 sos2 scont sint
* 29 5 24 0 0 0 0 0
* FX 0
*
* Nonzero counts
* Total const NL DLL
* 33 29 4 0
*
* Solve m using MINLP minimizing objvar;
Variables objvar,x2,x3,x4,x5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18
,b19,b20,b21,b22,b23,b24,b25,b26,b27,b28,b29;
Binary Variables b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16,b17,b18,b19,b20,b21
,b22,b23,b24,b25,b26,b27,b28,b29;
Equations e1,e2,e3,e4,e5;
e1.. -sqr(0.14427932477276 - x2*x3/(x4*x5)) + objvar =E= 0;
e2.. x2 - b6 - 2*b7 - 4*b8 - 8*b9 - 16*b10 - 32*b11 =E= 0;
e3.. x3 - b12 - 2*b13 - 4*b14 - 8*b15 - 16*b16 - 32*b17 =E= 0;
e4.. x4 - b18 - 2*b19 - 4*b20 - 8*b21 - 16*b22 - 32*b23 =E= 0;
e5.. x5 - b24 - 2*b25 - 4*b26 - 8*b27 - 16*b28 - 32*b29 =E= 0;
* set non-default bounds
x2.lo = 12; x2.up = 60;
x3.lo = 12; x3.up = 60;
x4.lo = 12; x4.up = 60;
x5.lo = 12; x5.up = 60;
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: 2025-08-07 Git hash: e62cedfc

