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Chaos driven evolutionary algorithm: A new approach for evolutionary optimization

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dc.title Chaos driven evolutionary algorithm: A new approach for evolutionary optimization en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Davendra, Donald David
dc.contributor.author Zelinka, Ivan
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof International Journal of Mathematics and Computers in Simulation
dc.identifier.issn 1998-0159 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 7
utb.relation.issue 4
dc.citation.spage 363
dc.citation.epage 368
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN) en
dc.relation.uri http://www.naun.org/cms.action?id=5359
dc.subject Chaos en
dc.subject Differential evolution en
dc.subject Evolutionary algorithms en
dc.subject Lozi map en
dc.description.abstract This research deals with the initial investigations on the concept of a chaos-driven evolutionary algorithm Differential evolution. This paper is aimed at the embedding of simple two- dimensional chaotic system, which is Lozi map, in the form of chaos pseudo random number generator for Differential Evolution. The chaotic system of interest is the discrete dissipative system. Repeated simulations were performed on standard benchmark Schwefel's test function in higher dimensions. Finally, the obtained results are compared with canonical Differential Evolution. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003543
utb.identifier.obdid 43870252
utb.identifier.scopus 2-s2.0-84886711794
utb.source j-scopus
dc.date.accessioned 2013-11-29T09:48:59Z
dc.date.available 2013-11-29T09:48:59Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Komínková Oplatková, Zuzana
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