MINLPLib

A Library of Mixed-Integer and Continuous Nonlinear Programming Instances

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Instance gear

Formatsⓘ ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)ⓘ
0. p1 ( gdx sol )
(infeas: 0)
Other points (infeas > 1e-08)ⓘ  
Dual Boundsⓘ
-0. (ANTIGONE)
-0. (BARON)
0. (COUENNE)
0. (LINDO)
0. (SCIP)
0. (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ⓘ INLP
#Variablesⓘ 4
#Binary Variablesⓘ 0
#Integer Variablesⓘ 4
#Nonlinear Variablesⓘ 4
#Nonlinear Binary Variablesⓘ 0
#Nonlinear Integer Variablesⓘ 4
Objective Senseⓘ min
Objective typeⓘ signomial
Objective curvatureⓘ nonconcave
#Nonzeros in Objectiveⓘ 4
#Nonlinear Nonzeros in Objectiveⓘ 4
#Constraintsⓘ 0
#Linear Constraintsⓘ 0
#Quadratic Constraintsⓘ 0
#Polynomial Constraintsⓘ 0
#Signomial Constraintsⓘ 0
#General Nonlinear Constraintsⓘ 0
Operands in Gen. Nonlin. Functionsⓘ  
Constraints curvatureⓘ linear
#Nonzeros in Jacobianⓘ 0
#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ⓘ 1.4428e-01
Infeasibility of initial pointⓘ 0
Sparsity Jacobianⓘ Sparsity of Objective Gradient and Jacobian
Sparsity Hessian of Lagrangianⓘ Sparsity of Hessian of Lagrangian

$offlisting
*  
*  Equation counts
*      Total        E        G        L        N        X        C        B
*          1        1        0        0        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*          5        1        0        4        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*          5        1        4        0
*
*  Solve m using MINLP minimizing objvar;


Variables  i1,i2,i3,i4,objvar;

Integer Variables  i1,i2,i3,i4;

Equations  e1;


e1.. -sqr(0.14427932477276 - i1*i2/(i3*i4)) + objvar =E= 0;

* set non-default bounds
i1.lo = 12; i1.up = 60;
i2.lo = 12; i2.up = 60;
i3.lo = 12; i3.up = 60;
i4.lo = 12; i4.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: 2026-09-14 Git hash: 9472b011
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