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On the population diversity for the chaotic differential evolution

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dc.title On the population diversity for the chaotic differential evolution en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
dc.identifier.isbn 9781509060177
dc.date.issued 2018
dc.citation.spage 1153
dc.citation.epage 1160
dc.event.title 2018 IEEE Congress on Evolutionary Computation, CEC 2018
dc.event.location Rio de Janeiro
utb.event.state-en Brazil
utb.event.state-cs Brazílie
dc.event.sdate 2018-07-08
dc.event.edate 2018-07-13
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC.2018.8477741
dc.relation.uri https://ieeexplore.ieee.org/document/8477741
dc.subject Differential Evolution en
dc.subject Complex dynamics en
dc.subject Deterministic chaos en
dc.subject Population diversity en
dc.subject Chaotic map en
dc.description.abstract This research deals with the modern and popular hybridization of chaotic dynamics and evolutionary computation. Unlike many research studies on the combination of chaos and metaheuristics, this paper focuses on the deeper insight into the population dynamics, specifically influence of chaotic sequences on the population diversity. The optimization algorithm performance was recorded as well. Experiments are focused on the extensive investigation of the different randomization schemes for the selection of individuals in a simple parameter adaptive Differential Evolution (DE) strategy: JDE algorithm. The jDE was driven by the nine different two-dimensional discrete chaotic systems, as the chaotic pseudo-random number generators. The population diversity and jDE convergence are recorded on the two-dimensional settings (10D and 30D) and 15 test functions from the CEC 2015 benchmark. © 2018 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008352
utb.identifier.obdid 43879133
utb.identifier.scopus 2-s2.0-85056263267
utb.identifier.wok 000451175500148
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:47Z
dc.date.available 2019-01-03T12:31:47Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2018/003]; COST (European Cooperation in Science Technology) [CA15140, IC1406]
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kadavý, Tomáš
utb.wos.affiliation [Senkerik, Roman; Viktorin, Adam; Pluhacek, Michal; Kadavy, Tomas] Tomas Bata Univ Ziln, Fac Appl Informat, Nam TG Masaryka 5555, Ziln 76001, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, Zlin, 760 01, Czech Republic
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