Hybridization of adaptivity and chaotic dynamics for differential evolution

Abstract

This research deals with the hybridization of the two modern approaches for evolutionary algorithms, which are the adaptivity and complex chaotic dynamics. This paper aims on the investigations on the chaos-driven adaptive Differential Evolution (DE) concept. This paper is aimed at the embedding of discrete dissipative chaotic systems in the form of chaotic pseudo random number generators for the state of the art adaptive representative jDE. Repeated simulations for two different driving chaotic systems were performed on the IEEE CEC 13 benchmark set. Finally, the obtained results are compared with the canonical not-chaotic jDE. © Springer International Publishing Switzerland 2015.