| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Zelinka, Ivan | |
| dc.date.accessioned | 2014-05-13T14:25:51Z | |
| dc.date.available | 2014-05-13T14:25:51Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Soft Computing. 2014, vol. 18, no. 4, p. 631-639. | cs |
| dc.identifier.issn | 1432-7643 | |
| dc.identifier.issn | 1433-7479 | |
| dc.identifier.uri | http://hdl.handle.net/10084/101792 | |
| dc.description.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. | cs |
| dc.language.iso | en | cs |
| dc.publisher | Springer | cs |
| dc.relation.ispartofseries | Soft Computing | cs |
| dc.relation.uri | http://dx.doi.org/10.1007/s00500-014-1222-z | cs |
| dc.rights | © Springer-Verlag Berlin Heidelberg 2014 | cs |
| dc.subject | particle swarm | cs |
| dc.subject | optimization | cs |
| dc.subject | swarm intelligence | cs |
| dc.subject | chaos | cs |
| dc.subject | evolutionary algorithms | cs |
| dc.title | Particle swarm optimization algorithm driven by multichaotic number generator | cs |
| dc.type | article | cs |
| dc.identifier.doi | 10.1007/s00500-014-1222-z | |
| dc.type.status | Peer-reviewed | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 18 | cs |
| dc.description.issue | 4 | cs |
| dc.description.lastpage | 639 | cs |
| dc.description.firstpage | 631 | cs |
| dc.identifier.wos | 000333030800003 | |