I am trying to find 12 parameters for my "black-box" function with the help of Matlab's Genetic Algorithm solver. However the aforementioned solver sometimes encounter a point where the "black-box" cannot compute anything, and thus the GA-solver stops completely.
This is what I recieve in the command window when the solver fails:
Caused by: Failure in user-supplied fitness function evaluation. GA cannot continue.
How do I force the GA-solver to just either ignore or create another point that the "black-box" can compute in the current population?
The "black-box" function in question is a 12 parameter material model of which I simulate creep-behaviour in an FE-software (ANSYS). The fitness value is determined by how well the material model will perform against experimental data. The GA-solver fails in-conjunction when the FE-software fails to compute any creep-behavior with the suggested (probably non-physical parameters) parameters by the GA-solver.
Edit: I made a temporary solution where I remodified the black-box function by giving an articially high fitness value when the black-box failed to compute the point. I did this with the help of if and try/catch statements. This solution isn't ideal since it might obscure the mutation/crossover process when having artifical fitness values in the population.
