why ga can not disperse population in a feasible area ??

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I employed ga to minimize a single objective problem with 56 variables. My constraints include linear equalities and inequalities. There are two linear equalities and 52 inequalities. I try to confine variables by defining linear inequalities. I should mention that variables are dependent, so these linear inequalities are linear but they are related together. I run ga through optimization tool but the minimum value is nearly the same in all iterations of each run. I think the problem is the population generation because in each iteration I can not see even a small change in variable distribution, the variables are always constant. I try to change options for the population part, but I didn't see any improvement. I checked the code and I'm totally sure that the problem should be somewhere in ga options.

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Alan Weiss
Alan Weiss 2018-8-21
The real question is why are you using ga to solve this problem? If your objective function is smooth, use fmincon starting from a variety of initial points; do this automatically using MultiStart. If your objective function is not smooth, use patternsearch as suggested here.
Alan Weiss
MATLAB mathematical toolbox documentation

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