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Inspired in SOMA: Perturbation vector embedded into the chaotic PSO algorithm driven by Lozi chaotic map

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dc.title Inspired in SOMA: Perturbation vector embedded into the chaotic PSO algorithm driven by Lozi chaotic map en
dc.contributor.author Pluháček, Michal
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Davendra, Donald David
dc.relation.ispartof Self-Organizing Migrating Algorithm: Methodology and Implementation
dc.identifier.issn 1860-949X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-28161-2
dc.identifier.isbn 978-3-319-28159-9
dc.date.issued 2016
utb.relation.volume 626
dc.citation.spage 277
dc.citation.epage 289
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin
dc.identifier.doi 10.1007/978-3-319-28161-2_13
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-28161-2_13
dc.subject Particle swarm optimization en
dc.subject Chaos en
dc.subject PSO en
dc.subject SOMA hybrid en
dc.description.abstract In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pseudorandom number generator based on chaotic Lozi map is presented. This research represents the continuation of the satisfactory results obtained by means of chaos embedded (driven) swarm based algorithms, which utilize the chaotic dynamics in the place of pseudorandom number generators. The perturbation vector, which is introduced here, was inspired by the swarm based Self-organizing Migrating Algorithm (SOMA). It was embedded into the PSO algorithm to help overcome the issue of premature convergence. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006465
utb.identifier.obdid 43876206
utb.identifier.scopus 2-s2.0-84957572180
utb.identifier.wok 000371478200015
utb.source d-wok
dc.date.accessioned 2016-07-26T14:58:35Z
dc.date.available 2016-07-26T14:58:35Z
utb.identifier.utb-sysno 87694
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek, Ivan Zelinka, Roman Senkerik, Donald Davendra Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: pluhacek@fai.utb.cz e-mail: senkerik@fai.utb.cz Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Porubá, Czech Republic e-mail: ivan.zelinka@vsb.cz Department of Computer Science, Central Washington University, 400 E. University Way, Ellensburg, WA 98926-7520, USA e-mail: donald.davendra@vsb.cz; DonaldD@cwu.edu
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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