I have a small program that I can configure via a simple input number (integer) called a 'grain size'. I've noticed that the run time can vary based on this number's value. I wrote up a genetic search algorithm and it does 'evolve' to an optimal answer. My big question is, what other algorithms can I try? What techniques in Machine Learning can I use to extrapolate an optimal value based on a series of inputs?