Definition of constraints not directly dependent in ga optimization

Hi guys, I'm trying the get my constraints defined using ga function.

My prblem is something like:

objective function: obj_func(K), where K in a vector

constraints: 0 <= maxMagEigVal(A) <= 1 and obj_func(K) <= ks and obj_func(K) being positive. A is a squared matrix

Can anyone give me a guidance of how can I define that or if htat is possible to do? I need to find a vector K that satisfies those constraints. If it needs fmore details I can provide the code of those functions.

Thaks in advance!

Answer 1

[Matt J]

function [c,ceq]=nonlcon(K)

   ceq=[];
   
   c(1)=-obj_func(K);
   c(2)=obj_func(K)-ks;
   c(3)=max(abs(eig(A(K))))-1;

end