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

Šenkeřík, Roman; Viktorin, Adam; Kadavý, Tomáš; Pluháček, Michal; Kazíková, Anežka; Diep, Quoc Bao; Zelinka, Ivan

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	978-3-03-020911-7
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