How to solve MINLP via problom-based optimization

I have an optimization problem which is a MINLP (mixed integer nonlinear programming). I tried to solve it via problem-based optimization. I use opts = optimoptions(prob) but it failed. MATLAB told me Nonlinear problem with integer variables not supported.

I wonder what solver should I choose to solve such a problem and how to do. Any suggestion is appreciated. Thanks!

[Torsten]

If you really have a nonlinear problem with integer variables, you can only use ga.

[Jingyu Liu]

@Torsten How to use ga in problem-based optimization?

opts = optimoptions('ga') didn't work.

[Torsten]

https://de.mathworks.com/help/gads/genetic-algorithm-options.html

https://de.mathworks.com/help/gads/gaoptimset.html

[Jingyu Liu]

@Torsten Thanks for your comments!

Answer 1

[Matt J]

You can use prob2struct()

https://www.mathworks.com/matlabcentral/fileexchange/74481-prob2matrices-a-selective-version-of-prob2struct

to convert problem-based formulations of your bounds, linear and integer constraints to a format suitable for ga().