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Comparative study of the distance/improvement based shade

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dc.title Comparative study of the distance/improvement based shade en
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof Proceedings - European Council for Modelling and Simulation, ECMS
dc.identifier.issn 2522-2414 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-9932440-6-3
dc.date.issued 2018
dc.citation.spage 163
dc.citation.epage 169
dc.event.title 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018
dc.event.location Wilhelmshaven
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2018-05-22
dc.event.edate 2018-05-25
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2018-0163
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0163.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0163_is_ecms2018_0867.pdf
dc.subject differential evolution en
dc.subject SHADE en
dc.subject Db_SHADE en
dc.subject DIb_SHADE en
dc.subject parameter adaptation en
dc.description.abstract In this paper, a comparative study of seven variants of the Success-History based Adaptive Differential Evolution (SHADE) algorithm is presented with the aim to show the influence of improvement and distance based parameter adaptation to its performance. Seven algorithms range from improvement only based SHADE through a balanced improvement and distance based DIb_SHADE to distance only based Db_SHADE. The algorithm set is compared on the CEC2015 benchmark set, results are statistically tested, commented and possible future research directions are provided. © ECMS Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008573
utb.identifier.rivid RIV/70883521:28140/18:63520325!RIV19-MSM-28140___
utb.identifier.obdid 43878845
utb.identifier.scopus 2-s2.0-85062836957
utb.identifier.wok 000656119000024
utb.source d-scopus
dc.date.accessioned 2019-07-08T11:59:56Z
dc.date.available 2019-07-08T11:59:56Z
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) [CA15140, IC1406]; A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
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 Tomas Bata University in Zlin, Faculty of Applied Informatics Nam 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, Nam TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam 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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