How to know the current input for fminsearch?
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I'm using fminsearch for an optimization problem.
I use 100 random inputs and run fminsearch hoping that it doesn't get trapped in local minimas.
Sometimes, fminsearch takes more than usual. I suspect this is because of some bad behavior of some function in my problem that I haven't overseen earlier. I am wondering if I can somehow display the x (input) that fminsearch is working on right now (in real time). This will help me to find out why my problem takes longer around this particular point and if there is some issue with how I defined my problem, correct it (with some if,else,etc).
Thank you!
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Accepted Answer
Matt J
on 25 Jul 2020
Edited: Matt J
on 25 Jul 2020
You can use an OutputFcn,
or simply add a line of code to your objective function to display x, or pause under certain conditions. You could also possibly set conditional or non-conditional breakpoints,
However, I feel I should mention that fminsearch uses the Nelder-Mead algorithm, which is not designed for problems with a large number unknowns. In theory, it is only guaranteed to converge for 1 unknown, and in practice its performance starts to degrade significantly beyond about 6 unknowns. In your case, with 100 unknowns, I am suprised you ever see good fminsearch behavior.
3 Comments
Matt J
on 25 Jul 2020
Do you have a suggestion on which method you think may work better?
Not without seeing your cost function. Presumably you've already tried fminunc?
More Answers (1)
Alan Weiss
on 26 Jul 2020
For optimizing a simulation or ODE, you may want to try patternsearch and surrogateopt. For surrogateopt you will need to bound all of the variables. These solvers have informative plot functions available.
Alan Weiss
MATLAB mathematical toolbox documentation
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Alan Weiss
on 7 Aug 2020
You can attach it to this discussion or send it to me at aweiss@mathworks.com .
Alan Weiss
MATLAB mathematical toolbox documentation
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