Finding global minimum with fseminf
显示 更早的评论
Hello
I'm trying to solve optimization problems with fseminf, but as we know it finds local minimum. My question is: Is it a good strategy to call fseminf lots of times with different starting values? Is finding the/one global minimum depends only on the starting point?
Sometimes it's possible that my optimization problem has infinite number of global minimum(maybe always, not sure about that, the constraints contain sin and cos function).
In my optimization problem I have a decision variable that is between 0 and 2*pi, the rest of the variables can have any positive value.
The constraints are smooth functions most likely.
采纳的回答
Is it a good strategy to call fseminf lots of times with different starting values?
It's not a bad strategy, but no strategy is guaranteed.
Is finding the/one global minimum depends only on the starting point?
Yes.
The constraints are smooth functions most likely.
They had better be. It is a requirement of fseminf.
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Problem-Based Optimization Setup 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 
