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Population diversity analysis in adaptive differential evolution variants with unconventional randomization schemes

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dc.title Population diversity analysis in adaptive differential evolution variants with unconventional randomization schemes en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Pluháček, Michal
dc.contributor.author Kazíková, Anežka
dc.contributor.author Diep, Quoc Bao
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartof Artificial Intelligence And Soft Computing, ICAISC 2019, Pt II
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030209117
dc.date.issued 2019
utb.relation.volume 11508 LNAI
dc.citation.spage 506
dc.citation.epage 518
dc.event.title 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019
dc.event.location Zakopane
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2019-06-16
dc.event.edate 2019-06-20
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-20912-4_46
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-20912-4_46
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 represents a detailed insight into the modern and popular hybridization of unconventional quasiperiodic/chaotic sequences and evolutionary computation. It is aimed at the influence of different randomization schemes on the population diversity, thus on the performance, of two selected adaptive Differential Evolution (DE) variants. Experiments are focused on the extensive investigation of totally ten different randomization schemes for the selection of individuals in DE algorithm driven by the default pseudo-random generator of Java environment and nine different two-dimensional discrete chaotic systems, as the unconventional chaotic pseudo-random number generators. The population diversity is recorded for 15 test functions from the CEC 2015 benchmark set in 10D. © 2019, Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008820
utb.identifier.obdid 43880086
utb.identifier.scopus 2-s2.0-85066744896
utb.identifier.wok 000485150200046
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:23Z
dc.date.available 2019-08-13T10:17:23Z
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/2019/002]; COST (European Cooperation in Science & Technology) under Action (ImAppNIO) [CA15140]; COST (European Cooperation in Science & Technology) under Action (cHiPSet) [IC1406]; VSB-Technical University of Ostrava [SGS 2019/137]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Kadavý, Tomáš
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kazíková, Anežka
utb.fulltext.affiliation Roman Senkerik 1, Adam Viktorin 1, Tomas Kadavy 1, Michal Pluhacek 1, Anezka Kazikova 1, Quoc Bao Diep 2, Ivan Zelinka 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic ivan.zelinka@vsb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2019/002. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140 (ImAppNIO), and Action IC1406 (cHiPSet). The work was further supported by resources of A.I. Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz), and by grant of SGS 2019/137, VSB-Technical University of Ostrava.
utb.wos.affiliation [Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas; Pluhacek, Michal; Kazikova, Anezka] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Diep, Quoc Bao; Zelinka, Ivan] Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, 760 01, Czech Republic; Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2019/002
utb.fulltext.projects CA15140
utb.fulltext.projects IC1406
utb.fulltext.projects SGS 2019/137
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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