can genetic algorithm optimizer be used with nonlinear constraint as a simulation function?

Min objfunction(x) subject to: C(x)<=0 where C(x) is a matlab simulation file

Answer 1

[Walter Roberson]

Yes. See https://www.mathworks.com/help/gads/ga.html#inputarg_nonlcon

[Mustafa Al-tekreeti]

Hello Walter, I tried that before, it did not work.

[Walter Roberson]

Are you using integer constraints, or population type bitstring? If you are then nonlcon does not apply.

[Alan Weiss]

You might need to manage which workspace Simulink addresses, as explained in this Answer.

Alan Weiss

MATLAB mathematical toolbox documentation

[Mustafa Al-tekreeti]

yes I am using linear integer constraints beside the simulation based constraint. My simulation is basically a Matlab code, I am not using Simulink.

[Walter Roberson]

If you need integer constraints along with nonlinear constraints, then you need to use a work-around. Do not tell it there are integer constraints: instead provide your own custom population function, mutation function, and cross-over function, all of which "just happen" never to emit a population member that would violate your integer constraints.

[Mustafa Al-tekreeti]

Thanks Walter, it seems this is the only way to do it.