Global Optimization for a Simulink Model
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Hi,
The problem
I need to optimize 10 paramters of a simulink model within some lower/upper bounds so that the mean error between real and simulated ouput is minimized. The problem has multiple optima.
Question
How could I apply the a genetic algorithm or a surrogate optimization as part of the Simulink Design Optimization application? if not, how to convert a Simulink design optimization problem into an objective function that I can pass to the above mentioned functions?
Thank you for your help,
Miguel
采纳的回答
Alan Weiss
2021-1-11
编辑：Alan Weiss
2021-1-11
1 个投票
You probably want to minimize the mean squared error. For an example, see lsqnonlin with a Simulink® Model. You can change the solver from lsqnonlin to ga or surrogateopt easily, by reformulating the objective function as in Nonlinear Data-Fitting.
One word of caution: you probably cannot optimize a Simulink model in parallel by setting the UseParallel option. Please try the optimization in serial.
Alan Weiss
MATLAB mathematical toolbox documentation
3 个评论
Miguel Esteras
2021-1-18
Alan Weiss
2021-1-18
编辑：Alan Weiss
2021-1-18
To call Simulink in parallel, the underlying mechanism should be parsim. However, ga and surrogateopt do not use parsim. Instead, they use parfor or some other mechanism. I believe that Simulink Design Optimization does use the correct mechanism, but I do not know that product so cannot give you advice relating to it.
Alan Weiss
MATLAB mathematical toolbox documentation
Miguel Esteras
2021-1-18
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