TBU Publications
Repository of TBU Publications

Particle swarm optimization algorithm driven by multichaotic number generator

DSpace Repository

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)
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
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
Show full item record

Find Full text Export to RefWorks
   

 

Files in this item

Icon
Name: Fulltext_1003719.pdf
Size: 266.9Kb
Format: PDF
Description: fulltext

ČSN ISO 690:2011 citation

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. 2024-12-12]. ISSN 1433-7479. Dostupné z: https://link.springer.com/article/10.1007/s00500-014-1222-z.

These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.

Related articles