Kontaktujte nás | Jazyk: čeština English
Název: | Multi-swarm aproach for chaotic PSO algorithm - An initial study | ||||||||||
Autor: | Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | MENDEL 2014. 2014, vol. 2014-January, issue January, p. 141-146 | ||||||||||
ISSN: | 1803-3814 (Sherpa/RoMEO, JCR) | ||||||||||
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Abstrakt: | 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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