Change MaxFunctionEvaluations in optimization problem
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Andrea Mazzetto
le 23 Juin 2021
Commenté : Walter Roberson
le 23 Juin 2021
Hi, everyone.
I'm doing an optimization problem, all works until I change the constraints when i make them more restrictive, cause the solver stopped prematurely. I tried to increase the function evaluation limit by using
options = optimoptions(@fmincon,'Algorithm','interior-point','MaxFunctionEvaluations',10000)
But nothing changed. How can I change the limit?
The script is as follows:
aymax = 5;
V = 70;
limro = aymax / (V/3.6)^2;
....
type objfun
rof1 = optimvar('rof1');
rof2 = optimvar('rof2');
....
sf4 = optimvar('sf4');
obj = fcn2optimexpr(@objfun,rof1,rof2,rof3,rof4,sf1,sf2,sf3,sf4);
prob = optimproblem('Objective',obj);
constr1 = rof1 >= 0;
prob.Constraints.curvatura1 = constr1;
constr2 = rof1 <= (-aymax / (V/3.6)^2)*0.8;
prob.Constraints.curvatura2 = constr2;
constr3 = rof2 >= -0.0005;
prob.Constraints.curvatura3 = constr3;
....
....
constr17 = sf4 >= intorno;
prob.Constraints.ascissa9 = constr17;
x0.rof1 = 0.1;
x0.rof2 = 0.2;
....
....
x0.sf4 = 30;
options = optimoptions(@fmincon,'Algorithm','interior-point','MaxFunEvals',10000);
[sol,fval,exitflag,output] = solve(prob,x0);
1 commentaire
Steven Lord
le 23 Juin 2021
Walter has showed you how to use the options. What you had written didn't work because the optimoptions function does not "change some global options" (though I've seen a number of users expect it to behave that way over the years) but instead creates the options that you would then need to pass into the solver (either by calling fmincon in the solver-based approach or calling solve in the problem-based approach.)
Réponse acceptée
Walter Roberson
le 23 Juin 2021
options = optimoptions(prob,'Algorithm','interior-point','MaxFunEvals',10000);
[sol,fval,exitflag,output] = solve(prob, x0, 'Options', options);
1 commentaire
Walter Roberson
le 23 Juin 2021
Notice that the problem was passed into optimoptions, rather than @fmincon
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