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Analyzing control parameters in DISH

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dc.title Analyzing control parameters in DISH en
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
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 519
dc.citation.epage 529
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_47
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-20912-4_47
dc.subject differential evolution en
dc.subject jSO en
dc.subject DISH en
dc.subject control parameter en
dc.subject scaling factor en
dc.subject crossover rate en
dc.description.abstract This paper presents the analysis of the difference in control parameter adaptation between jSO and DISH algorithms. The DISH algorithm uses a distance based parameter adaptation and therefore, is based on the distance between successful offspring and its parent solution rather than on the difference in their corresponding objective function values. The DISH algorithm outperforms the jSO algorithm on the CEC 2015 benchmark set and the adaptation behavior on functions, where the performance is significantly different, is analyzed and commented. The findings from this paper might be used in the future design of jSO based single-objective optimization algorithms. © 2019, Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008817
utb.identifier.obdid 43880030
utb.identifier.scopus 2-s2.0-85066760986
utb.identifier.wok 000485150200047
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:22Z
dc.date.available 2019-08-13T10:17:22Z
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, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) [CA15140]; COST (European Cooperation in Science & Technology) under Action, High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) [IC1406]
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kadavý, Tomáš
utb.fulltext.affiliation Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic {aviktorin,senkerik,pluhacek,kadavy}@utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Viktorin, Adam; Senkerik, Roman; Pluhacek, Michal; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, 760 01, Czech Republic
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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