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Steady success clusters in Differential Evolution

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dc.title Steady success clusters in Differential Evolution en
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Zamuda, Aleš
dc.relation.ispartof 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
dc.identifier.isbn 978-1-5090-4240-1
dc.date.issued 2016
dc.event.title 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
dc.event.location Athens
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2016-12-06
dc.event.edate 2016-12-09
dc.type article
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.identifier.doi 10.1109/SSCI.2016.7850252
dc.relation.uri http://ieeexplore.ieee.org/document/7850252/
dc.subject Differential Evolution en
dc.subject Clustering en
dc.subject Complex Network en
dc.subject Success History en
dc.subject k-means en
dc.description.abstract This paper presents insights into the proportions between the k-means clusters of successful Differential Evolution (DE), donor generating vectors. This is demonstrated by the high certainty that these proportions are similar - and thereby, that these cluster size proportions regularly appear. A characteristic of these proportions is that they are observed at the same specific values in different test functions. It is also shown that, when varying the number of dimensions for a fitness function, the proportions are constant. However, some of the possible dynamics of these proportions are reported later on, in the situation where the optimization algorithm is changed - for instance, control parameters like the population size parameter. This parameter significantly changes, the proportions of the most frequently successful and most unsuccessful vectors. Insights like this are useful for an understanding of the inter-generational complexity that appears within evolutionary algorithms and would thus benefit future algorithm design; for example, plausible metrics for on-line control. © 2016 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007113
utb.identifier.rivid RIV/70883521:28140/16:43875356!RIV17-GA0-28140___
utb.identifier.obdid 43876097
utb.identifier.scopus 2-s2.0-85016039727
utb.identifier.wok 000400488303024
utb.source j-wok
dc.date.accessioned 2017-08-01T08:27:12Z
dc.date.available 2017-08-01T08:27:12Z
dc.description.sponsorship GACR Grant Agency of the Czech Republic [P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; RDF - CEBIA-Tech Project [CZ.1.05/2.1.00/03.0089]; teh Tomas Bata University Internal Grant Agency Project [IGA/CebiaTech/2016/007]; Slovenian Research Agency [P2-0041]; COST Action [15140]
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.fulltext.affiliation Adam Viktorin, Roman Senkerik, Michal Pluhacek Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555, 760 01 Zlin, Czech Republic Email: {aviktorin, senkerik, pluhacek}@fai.utb.cz Aleš Zamuda Faculty of Electrical Engineering and Computer Science University of Maribor Smetanova 17, 2000 Maribor, Slovenia Email: ales.zamuda@um.si
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the GACR Grant Agency of the Czech Republic Project No.: P103/15/06700S; fur- ther, by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme, Project No.: LO1303 (MSMT-7778/2014) and the RDF – CEBIA-Tech Project No.: CZ.1.05/2.1.00/03.0089; and by teh Tomas Bata University Internal Grant Agency Project No.: IGA/CebiaTech/2016/007. This work was also funded in part by the Slovenian Research Agency, Project No.: P2-0041; and supported by COST Action 15140.
utb.scopus.affiliation [Viktorin, Adam; Senkerik, Roman; Pluhacek, Michal] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Zamuda, Ales] Univ Maribor, Fac Elect Engn & Comp Sci, Smetanova 17, SLO-2000 Maribor, Slovenia
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