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Particle swarm optimization algorithm driven by multichaotic number generator
Authors:Michal Pluhacek  Roman Senkerik  Ivan Zelinka
Affiliation:1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760?01?, Zlin, Czech Republic
2. Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708?33?, Ostrava-Poruba, Czech Republic
Abstract:In this paper, the utilization of different chaotic systems as pseudo-random number generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos-based PRNGs are used alternately within one run of the PSO algorithm and dynamically switched over when a certain criterion is met. By using this unique technique, it is possible to improve the performance of PSO algorithm as it is demonstrated on different benchmark functions.
Keywords:
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