How distance based parameter adaptation affects population diversity

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

dc.title	How distance based parameter adaptation affects population diversity	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.identifier.issn	0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-91640-8
dc.date.issued	2018
utb.relation.volume	10835 LNCS
dc.citation.spage	307
dc.citation.epage	319
dc.event.title	8th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2018
dc.event.location	Paris
utb.event.state-en	France
utb.event.state-cs	Francie
dc.event.sdate	2018-05-16
dc.event.edate	2018-05-18
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-91641-5_26
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-91641-5_26
dc.subject	Distance-based parameter adaptation	en
dc.subject	SHADE	en
dc.subject	Population diversity	en
dc.description.abstract	This paper discusses the effect of distance based parameter adaptation on the population diversity of the Success-History based Adaptive Differential Evolution (SHADE). The distance-based parameter adaptation was designed to promote exploration over exploitation and provide better search capabilities of the SHADE algorithm in higher dimensional objective spaces. The population diversity is recorded on the 15 test functions from the CEC 2015 benchmark set in two-dimensional settings, 10D and 30D, to provide the empiric evidence of a beneficial influence of the distance based parameter adaptation in comparison with the objective function value based approach. © 2018, Springer International Publishing AG, part of Springer Nature.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1007998
utb.identifier.obdid	43878843
utb.identifier.scopus	2-s2.0-85047494996
utb.identifier.wok	000554401600026
utb.source	d-scopus
dc.date.accessioned	2018-07-27T08:47:38Z
dc.date.available	2018-07-27T08:47:38Z
dc.description.sponsorship	Ministry of Education; CA15140, COST, European Cooperation in Science and Technology; IC406, COST, European Cooperation in Science and Technology; IGA/CebiaTech/2018/003; MSMT-7778/2014; LO1303; CZ.1.05/2.1.00/03.0089, FEDER, European Regional Development Fund; COST, European Cooperation in Science and Technology
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/2018/003]; COST (European Cooperation in Science Technology) [Action CA15140, Action IC406]
utb.ou	CEBIA-Tech
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 ( ✉ ) http://orcid.org/0000-0003-0861-0340 , Roman Senkerik http://orcid.org/0000-0002-5839-4263 , Michal Pluhacek http://orcid.org/0000-0002-3692-2838 , and Tomas Kadavy http://orcid.org/0000-0002-3341-4336 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	-
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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/2018/003. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO), and Action IC406, High-Performance Modelling and Simulation for Big Data Applications (cHiPSet).
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, Czech Republic
utb.fulltext.projects	LO1303 (MSMT-7778/2014)
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089
utb.fulltext.projects	IGA/CebiaTech/2018/003
utb.fulltext.projects	CA15140
utb.fulltext.projects	ImAppNIO
utb.fulltext.projects	cHiPSet