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

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

Název:

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)

Journal Impact This chart shows the development of journal-level impact metrics in time

JCR	Journal Citation Reports - Impact Factor
SNIP	SCImago Source Normalized Impact per Paper
SJR	SCImago Journal Rank
IPP	SCImago Impact per Publication
CS	Scopus CiteScore

(Note: The metrics are not comparable against one another.)

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.

Zobrazit celý záznam

Soubory tohoto záznamu

Název: Postprint_1005274.pdf

Velikost: 286.6Kb

Formát: PDF

Popis: postprint

Citace ČSN ISO 690:2011

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.

Tyto citace vytvořil software a mohou obsahovat chyby. Pro ověření přesnosti si nastudujte příslušnou citační normu nebo příručku.