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Tuning the Lozi Map in Chaos Driven PSO Inspired by the Multi-chaotic Approach

  • 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 previous successful research on chaos enhanced particle swarm optimization algorithm (PSO) is expanded. The possibility of adaptive change of control parameters of chaotic systems that is used as a pseudo-random number generator for the velocity calculation in PSO algorithm is investigated. To evaluate the performance of newly designed algorithm the CEC´ 13 benchmark set was used.

Keywords

Particle swarm optimization chaos Lozi map PSO Evolutionary algorithm 

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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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