Investigation on evolutionary optimization of chaos control

This work deals with all investigation oil optimization of the feedback control of chaos based oil the use of evolutionary algorithms. The main objective is to Show that evolutionary algorithms are capable of optimization of chaos control. As models of deterministic chaotic systems, one-dimensional Logistic equation and two-dimensional Henon map were used. The optimizations were realized ill several ways, each one for another set of parameters of evolution algorithms or separate cost functions. The evolutionary algorithm SOMA (self-organizing migrating algorithm) was used ill four versions. For each version simulations were repeated several times to show and check for robustness of the applied method. (C) 2007 Elsevier Ltd. All rights reserved.