Multiple choice strategy with dimensional mutation for PSO algorithm enhanced with chaotic dissipative standard map

Abstract

In this paper several previously successfully tested approaches for PSO algorithm are merged. The Multiple-Choice strategy for PSO algorithm with chaotic pseudorandom number generator based on chaotic Dissipative Standard Map is enhanced with basic Dimensional mutation technique. The particular chaotic map selection was based on previous long-term research of chaos driven PSO. The approach is tested on a set of well-known benchmark functions with variety of dimensional settings and strict limit of cost function evaluations. Thus the potential of this method for needs of fast and real-time optimization is investigated. Promising results presented in the results section and briefly analyzed. © 2015 IEEE.