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Particle swarm optimization algorithm driven by multichaotic number generator

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Title: Particle swarm optimization algorithm driven by multichaotic number generator
Author: Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan
Document type: Peer-reviewed article (English)
Source document: Soft Computing. 2014, vol. 18, issue 4, p. 631-639
ISSN: 1433-7479 (Sherpa/RoMEO, JCR)
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DOI: https://doi.org/10.1007/s00500-014-1222-z
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. © 2014 Springer-Verlag Berlin Heidelberg.
Full text: https://link.springer.com/article/10.1007/s00500-014-1222-z
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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. 2024-11-26]. ISSN 1433-7479. Dostupné z: https://link.springer.com/article/10.1007/s00500-014-1222-z.

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