Particle swarm optimization algorithm driven by multichaotic number generator

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

Název:

Autor:

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

Typ dokumentu:

Recenzovaný odborný článek (English)

Zdrojový dok.:

Soft Computing. 2014, vol. 18, issue 4, p. 631-639

ISSN:

1433-7479 (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.)

DOI:

https://doi.org/10.1007/s00500-014-1222-z

Abstrakt:

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. © 2014 Springer-Verlag Berlin Heidelberg.

Plný text:

https://link.springer.com/article/10.1007/s00500-014-1222-z

Zobrazit celý záznam

Soubory tohoto záznamu

Název: Fulltext_1003719.pdf

Velikost: 266.9Kb

Formát: PDF

Popis: fulltext

Citace ČSN ISO 690:2011

Citace článku v časopise:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK a Ivan ZELINKA. Particle swarm optimization algorithm driven by multichaotic number generator. Soft Computing [online]. 2014, vol. 18, iss. 4, s. 631-639. [cit. 2025-11-03]. ISSN 1433-7479. Dostupné z: https://link.springer.com/article/10.1007/s00500-014-1222-z.

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