Analyzing control parameters in DISH

Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš

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