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SHADE algorithm dynamic analyzed through complex network

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dc.title SHADE algorithm dynamic analyzed through complex network 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 9783319623887
dc.date.issued 2017
utb.relation.volume 10392 LNCS
dc.citation.spage 666
dc.citation.epage 677
dc.event.title 23rd International Conference on Computing and Combinatorics, COCOON 2017
dc.event.location Hong Kong
utb.event.state-en China
utb.event.state-cs Čína
dc.event.sdate 2017-08-03
dc.event.edate 2017-08-05
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-62389-4_55
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-62389-4_55
dc.subject Centrality en
dc.subject Complex network en
dc.subject Differential evolution en
dc.subject SHADE en
dc.description.abstract In this preliminary study, the dynamic of continuous optimization algorithm Success-History based Adaptive Differential Evolution (SHADE) is translated into a Complex Network (CN) and the basic network feature, node degree centrality, is analyzed in order to provide helpful insight into the inner workings of this state-of-the-art Differential Evolution (DE) variant. The analysis is aimed at the correlation between objective function value of an individual and its participation in production of better offspring for the future generation. In order to test the robustness of this method, it is evaluated on the CEC2015 benchmark in 10 and 30 dimensions. © 2017, Springer International Publishing AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007477
utb.identifier.obdid 43877051
utb.identifier.scopus 2-s2.0-85028473516
utb.source d-scopus
dc.date.accessioned 2017-09-14T09:00:52Z
dc.date.available 2017-09-14T09:00:52Z
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}@fai.utb.cz
utb.fulltext.dates -
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, 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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