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Multiple Choice strategy with Dimensional mutation for PSO algorithm enhanced with chaotic Dissipative Standard Map

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dc.title Multiple Choice strategy with Dimensional mutation for PSO algorithm enhanced with chaotic Dissipative Standard Map en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Davendra, Donald David
dc.relation.ispartof 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
dc.identifier.isbn 9781479974924
dc.date.issued 2015
dc.citation.spage 1404
dc.citation.epage 1409
dc.event.title IEEE Congress on Evolutionary Computation, CEC 2015
dc.event.location Sendai
utb.event.state-en Japan
utb.event.state-cs Japonsko
dc.event.sdate 2015-05-25
dc.event.edate 2015-05-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC.2015.7257052
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7257052
dc.subject Chaos en
dc.subject Evolutionary algorithm en
dc.subject Heterogeneous swarm en
dc.subject Optimization en
dc.subject Particle swarm optimization en
dc.subject PSO en
dc.description.abstract In this paper several previously successfully tested approaches for PSO algorithm are merged. The Multiple-Choice strategy for PSO algorithm with chaotic pseudorandom number generator based on chaotic Dissipative Standard Map is enhanced with basic Dimensional mutation technique. The particular chaotic map selection was based on previous long-term research of chaos driven PSO. The approach is tested on a set of well-known benchmark functions with variety of dimensional settings and strict limit of cost function evaluations. Thus the potential of this method for needs of fast and real-time optimization is investigated. Promising results presented in the results section and briefly analyzed. © 2015 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006315
utb.identifier.obdid 43874040
utb.identifier.scopus 2-s2.0-84963622325
utb.identifier.wok 000380444801057
utb.source d-scopus
dc.date.accessioned 2016-06-22T12:14:45Z
dc.date.available 2016-06-22T12:14:45Z
dc.description.sponsorship GACR, Tomas Bata University; Tomas Bata University; MOE, Tomas Bata University; Tomas Bata University
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Davendra, Donald David
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