I am currently working on a Simulink model for which I want to fit parameters using the Simulink Design Optimization Toolbox (2015b). Since I need to fit quite a few parameters for long lasting simulations I was wondering which optimization method to use in advance.
The design variables are restricted by bounds and do use the sum squared error as cost function. Thus its a Minimization problem.
I read the users guide (<http://www.apmath.spbu.ru/ru/staff/smirnovmn/files/sldo_ug.pdf>) but didnt find other sources.
I understand: - I cant use Simplex pattern due to the bounds on the design variables
I dont understand: - how to choose from the others since all of them appear to be usable to me.
So my question is how to decide which method I should use. Is there any document which shows the reasoning (benefits and drawbacks) in a handy way (for one that doesnt have mathematical background)?
Thanks in Advance!
Best Regards, Stephan