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Multi-swarm aproach for chaotic PSO algorithm - An initial study

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Title: Multi-swarm aproach for chaotic PSO algorithm - An initial study
Author: Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan
Document type: Conference paper (English)
Source document: MENDEL 2014. 2014, vol. 2014-January, issue January, p. 141-146
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
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Abstract: In this study the Particle Swarm Optimization (PSO) algorithm with two simultaneously used chaotic pseudorandom number generators (CPRNG) is investigated. The swarm is divided into two same-size sub-swarms of particles. Each sub-swarm is driven by different CPRNG. Six different chaotic systems are tested in various combinations. The results of proposed algorithm on IEEE CEĆ13 Real-Parameter Single Objective Optimization benchmark set are presented and compared with the best performing PSO based algorithm in the competition.
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK a Ivan ZELINKA. Multi-swarm aproach for chaotic PSO algorithm - An initial study. In: MENDEL 2014 [online]. Brno: Brno University of Technology, 2014, s. 141-146. ISSN 1803-3814.

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