A Online Demo of Evolutionary Programming Using a Mixed Mutation Strategy for Solving Function Optimization

This paper presents an online demo of evolutionary programming using a mixed mutation strategy for solving function optimization problems. The strategy combines three different mutation operators: Gaussian, Cauchy and Lévy mutations. The algorithm has been implemented by a client-server web application, which is convenient for users to access through Internet. The web application architecture is divided into two parts: a client to deal with users’ input and a server to execute the computation. Experiments have shown that EP using mixed mutation strategies can produce high quality solutions on most of 14 benchmark functions.