nonlinear constrained optimization using simulated annealing

Hi, I am optimizing my system design using MATLAB GLOBAL OPTIMIZATION TOOLBOX.i used GA and it worked well.Now i am trying to use another technique to compare and verify the results. My objective function is nonlinear constrained type and I am trying to use SA.But SA doesn't have any provision for constrained problem.Is there any way to do so.plz suggest.

 采纳的回答

The only way to do this using SA is to write your own SA solver.
You would do much better to use patternsearch. In fact, patternsearch is usually faster, more robust, and more reliable than ga, and is easier to tune.
Alan Weiss
MATLAB mathematical toolbox documentation

更多回答(0 个)

类别

帮助中心File Exchange 中查找有关 Simulated Annealing 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by