Chaos particle swarm optimization with Eensemble of chaotic systems

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• 作者：Michal Pluhacek^a ; ^{pluhacek@fai.utb.cz" class="auth_mail" title="E-mail the corresponding author} ; Roman Senkerik^a ; ^{senkerik@fai.utb.cz" class="auth_mail" title="E-mail the corresponding author} ; Donald Davendra^b ; ^{donald.davendra@vsb.cz" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Particle swarm ; PSO ; Chaos ; Ensemble learning ; Optimization
• 刊名：Swarm and Evolutionary Computation
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：25
• 期：Complete
• 页码：29-35
• 全文大小：1704 K

文摘

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.