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.
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,