why the penalty of ga, when all the population violates the nonlinear constraints, is smaller than the penalty of feasible populations?
1 次查看(过去 30 天)
显示 更早的评论
I have integer problem with nonlinear constraints. So, at the beggining there are only few integer options (the problem's boundary increases through time) and sometimes all the populations my violate the non-linear constraint. For example, the penalityt value of the first generation with feasible population is 5, then ga assignes penality value 1 when the entire population in the second generation violates the non-linear constraint.
4 个评论
回答(1 个)
Jasvin
2023-9-21
Hi Emebet,
So, this is a problem that exists with all optimization algorithms in MATLAB. The following MATLAB Answers post would help you gain more insight into what is happening and provide helpful links:
Hope this helps!
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Get Started with Optimization Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!