Chaos driven evolutionary algorithm: A new approach for evolutionary optimization

Abstract

This research deals with the initial investigations on the concept of a chaos-driven evolutionary algorithm Differential evolution. This paper is aimed at the embedding of simple two- dimensional chaotic system, which is Lozi map, in the form of chaos pseudo random number generator for Differential Evolution. The chaotic system of interest is the discrete dissipative system. Repeated simulations were performed on standard benchmark Schwefel's test function in higher dimensions. Finally, the obtained results are compared with canonical Differential Evolution.