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Performance of Multi-chaotic PSO on a shifted benchmark functions set

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dc.title Performance of Multi-chaotic PSO on a shifted benchmark functions set en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Proceedings of the International Conference of Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-1287-3
dc.date.issued 2015
utb.relation.volume 1648
dc.event.title International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2014-09-22
dc.event.edate 2014-09-28
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4912778
dc.relation.uri http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4912778
dc.subject Particle swarm optimization en
dc.subject PSO en
dc.subject Chaos en
dc.subject Shifted functions en
dc.subject Multi-chaotic en
dc.subject Pseudo-random numbers en
dc.description.abstract In this paper the performance of Multi-chaotic PSO algorithm is investigated using two shifted benchmark functions. The purpose of shifted benchmark functions is to simulate the time-variant real-world problems. The results of chaotic PSO are compared with canonical version of the algorithm. It is concluded that using the multi-chaotic approach can lead to better results in optimization of shifted functions. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005217
utb.identifier.obdid 43874658
utb.identifier.scopus 2-s2.0-84939650054
utb.identifier.wok 000355339703054
utb.source d-wok
dc.date.accessioned 2015-07-15T08:42:21Z
dc.date.available 2015-07-15T08:42:21Z
dc.rights.access openAccess
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Zelinka, Ivan
utb.scopus.affiliation Pluhacek M., Tomas Bata University in Zlín, Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, nám. T.G. Masaryka 5555, Zlín, 760 01, Czech Republic; Senkerik R., Tomas Bata University in Zlín, Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, nám. T.G. Masaryka 5555, Zlín, 760 01, Czech Republic; Zelinka I., Tomas Bata University in Zlín, Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, nám. T.G. Masaryka 5555, Zlín, 760 01, Czech Republic
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