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dc.title | Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map | en |
dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Zelinka, Ivan | |
dc.contributor.author | Davendra, Donald David | |
dc.relation.ispartof | MENDEL 2013 | |
dc.identifier.issn | 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-80-214-4755-4 | |
dc.date.issued | 2013 | |
dc.citation.spage | 161 | |
dc.citation.epage | 166 | |
dc.event.title | 19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013 | |
dc.event.location | Brno | |
utb.event.state-en | Czech Republic | |
utb.event.state-cs | Česká republika | |
dc.event.sdate | 2013-06-26 | |
dc.event.edate | 2013-06-28 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Brno University of Technology | |
dc.subject | Burgers map | en |
dc.subject | Chaos | en |
dc.subject | Optimization | en |
dc.subject | Particle swarm | en |
dc.subject | Swarm intelligence | en |
dc.description.abstract | In this paper, it is proposed the utilization of discrete chaotic Burgers map based chaos pseudo-random number generator to enhance the performance of PSO algorithm. The performance is tested on a set of six test functions representing both unimodal and multimodal as well as both static and shifted optimization problems. Promising results are presented and analyzed. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1004670 | |
utb.identifier.obdid | 43870634 | |
utb.identifier.scopus | 2-s2.0-84905728234 | |
utb.source | d-scopus | |
dc.date.accessioned | 2015-06-04T12:54:48Z | |
dc.date.available | 2015-06-04T12:54:48Z | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Zelinka, Ivan |