Predicting the Solutions of a Challenging NLP Problem with Asynchronous Parallel Evolutionary Modeling Algorithm

In this paper, the asynchronous parallel evolutionary modeling algorithm (APEMA) is used to predict the solutions of a challenging non-linear problem (NLP)-a very high dimensional BUMP problem. Numerical experiments shows that the low order ordinary differential equations (ODE) models give good results.