But why genetic algorithms? It seems odd to start with something so complex and so slow instead of starting with simple (eg. generalized linear models) and then work your way up if they are not good enough. I suspect there are many classical statistical techniques and modern machine learning algorithms that would give better results, be faster and would have well understood principles that can be used to diagnose the model.