Chaos Driven PSO with Ensemble of Priority Factors

  • Michal Pluhacek
  • Roman Senkerik
  • Ivan Zelinka
  • Donald Davendra
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 289)

Abstract

In this paper a new approach for PSO algorithm driven by chaotic pseudorandom number generator is investigated. The ensemble learning method that has been successfully implemented in many evolutionary computational techniques is applied here for the selection of priority factors in the velocity calculations formula. The goal is to improve the performance of chaos driven PSO. The promising results are compared with previously published results of SPSO-2011 on the CEC´ 13 benchmark set.

Keywords

Particle swarm optimization chaos PSO Evolutionary algorithm optimization Ensemble learning 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Michal Pluhacek
    • 1
  • Roman Senkerik
    • 1
  • Ivan Zelinka
    • 2
  • Donald Davendra
    • 2
  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic
  2. 2.Faculty of Electrical Engineering and Computer ScienceVŠB-Technical University of OstravaOstrava-PorubaCzech Republic

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