Chaos particle swarm optimization with Eensemble of chaotic systems

Abstract

In this study the Chaotic Particle Swarm Optimization (CPSO) algorithm with six simultaneously used chaotic pseudo-random number generators (CPRNG) is investigated. The implementation of chaotic sequences is detailed and discussed. The Ensemble learning approach is used for assigning CPRNGs to particles. The results of proposed algorithm on IEEE CEC′13 Real-Parameter Single Objective Optimization benchmark set are presented and compared with the SPSO-2011.