How can i use different solvers like ga, patternsearch, particle swarm etc in problem based Mixed integer Linear Programming

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NN
NN on 27 Oct 2022
Commented: NN on 31 Oct 2022
How can i use different solvers like ga, patternsearch, particle swarm etc in problem based Mixed integer Linear Programming.
I am using MILP and if i try different solvers for example, ga in optimoptions, it shows that the optimization problem automatically uses linprog instead of the solver i specified.Kindly advise .
When i used patternsearch, i got a warning like below:
You have passed PATTERNSEARCH options to LINPROG. LINPROG will use the common options and ignore the PATTERNSEARCH options that do not apply.
To avoid this warning, convert the PATTERNSEARCH options using OPTIMOPTIONS.
showproblem(prob)
options = optimoptions('ga',prob.optimoptions,'Display','iter');
[values,~,exitflag] = solve(prob,'Options',options);
fval = evaluate(prob.Objective,values);

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Answers (1)

Torsten
Torsten on 27 Oct 2022
Edited: Torsten on 27 Oct 2022
MATLAB chooses the solver that is most appropriate (usually means: fastest) for your problem.
Why solving a linear optimization problem with the slowest nonlinear solver ?
But you can choose a different solver if you like:
options = optimoptions("ga",prob.optimoptions,"Display","iter");
[values,fval,exitflag] = solve(prob,"Solver","ga","Options",options)
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Torsten
Torsten on 31 Oct 2022
Seems the Global Optimization Toolbox is installed, but not licenced.
Although I don't understand that the ga testcase seems to work.
Contact Mathworks support for help.

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