A GA-Based Method for Function Approximation Using Adaptive Interpolation

We are developing GA-based tools for use in constructing high quality approximations to continuous functions. In this paper we report on a GA-based method for adaptively selecting effective interpolation points. We evaluate our approach on a variety of test functions, and we compare are results to more traditional approaches. The results are quite promising and suggest directions for further improvements.