dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Davendra, Donald David | |
dc.contributor.author | Komínková Oplatková, Zuzana | |
dc.contributor.author | Zelinka, Ivan | |
dc.date.accessioned | 2013-08-26T10:31:21Z | |
dc.date.available | 2013-08-26T10:31:21Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Computers & Mathematics with Applications. 2013, vol. 66, issue 2, p. 122-134. | cs |
dc.identifier.issn | 0898-1221 | |
dc.identifier.uri | http://hdl.handle.net/10084/100650 | |
dc.description.abstract | In this paper, the utilization of chaos pseudorandom number generators based on three different chaotic maps to alter the behavior and overall performance of PSO algorithm is proposed. This paper presents results of testing the performance and behavior of the proposed algorithm on typical benchmark functions that represent unimodal and multimodal problems. The promising results are analyzed and discussed. | cs |
dc.language.iso | en | cs |
dc.publisher | Elsevier | cs |
dc.relation.ispartofseries | Computers & Mathematics with Applications | cs |
dc.relation.uri | http://dx.doi.org/10.1016/j.camwa.2013.01.016 | cs |
dc.subject | evolutionary algorithms | cs |
dc.subject | particle swarm | cs |
dc.subject | optimization | cs |
dc.subject | swarm intelligence | cs |
dc.subject | chaos | cs |
dc.title | On the behavior and performance of chaos driven PSO algorithm with inertia weight | cs |
dc.type | article | cs |
dc.identifier.doi | 10.1016/j.camwa.2013.01.016 | |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 66 | cs |
dc.description.issue | 2 | cs |
dc.description.lastpage | 134 | cs |
dc.description.firstpage | 122 | cs |
dc.identifier.wos | 000321941300004 | |