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Chaos PSO with Super-Sized Swarm—Initial Study

  • Michal PluhacekEmail author
  • Roman Senkerik
  • Ivan Zelinka
Conference paper
  • 701 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 427)

Abstract

In this paper it is investigated the possibility of improving the performance of PSO algorithm with super-sized population. The performance fo canonical PSO with super-sized swarm has been investigated previously and showed promising results. In this study four different chaotic systems are used as pseudo-random number generators for the PSO algorithm. The IEEE CEC’13 benchmark set is used to evaluate the performance of the method.

Keywords

Particle swarm optimization Chaos PSO Evolutionary algorithm Optimization 

Notes

Acknowledgments

This work was supported by Grant Agency of the Czech Republic—GACR P103/15/06700S, further by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant of SGS No. SP2015/142 of VSB-Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the projects No. IGA/FAI/2015/057.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlínCzech Republic
  2. 2.Faculty of Electrical Engineering and Computer ScienceVŠB-Technical University of OstravaOstrava-PorubaCzech Republic

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