Change MaxFunctionEvaluations in optimization problem

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);

[Steven Lord]

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.)

Answer 1

[Walter Roberson]

options = optimoptions(prob,'Algorithm','interior-point','MaxFunEvals',10000);
[sol,fval,exitflag,output] = solve(prob, x0, 'Options', options);

[Walter Roberson]

Notice that the problem was passed into optimoptions, rather than @fmincon