why ga can not disperse population in a feasible area ??
1 次查看(过去 30 天)
显示 更早的评论
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.
1 个评论
Rik
2018-8-20
Have a read here (or here for more general advice) and here. It will greatly improve your chances of getting an answer.
采纳的回答
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
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!