
POWER CONTROL AND OPTIMIZATION: Proceedings of the 7th Global Conference on Power Control and Optimization
978-983-44483-63
Chaos Driven Differential Evolution in the Task f Evolutionary Control of Delayed Logistic Chaotic System
Roman Senkerik, Michal Pluhacek, Ivan Zelinka, Donald Davendra, Zuzana Kominkova Oplatkova, Roman Jasek
PCO Conf-Proc 2008 (2013), - PDF
Abstract. In this paper, Differential Evolution (DE) is used for the evolutionary optimization of control of chaotic delayed logistic system. The novality of the approach is that the identical selected discrete dissipative chaotic system is used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimization was performed for two types of case studies and developed cost functions.
© 2013 PCO based on American Institute of Physics