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Study on the time development of complex network for metaheuristic

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dc.title Study on the time development of complex network for metaheuristic en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Pluháček, Michal
dc.contributor.author Janoštík, Jakub
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-33623-7
dc.identifier.isbn 978-3-319-33625-1
dc.date.issued 2016
utb.relation.volume 464
dc.citation.spage 525
dc.citation.epage 533
dc.event.title 5th Computer Science On-line Conference, CSOC 2016
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2016-04-27
dc.event.edate 2016-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-33625-1_47
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-33625-1_47
dc.subject Analysis en
dc.subject Complex networks en
dc.subject Differential evolution en
dc.subject Graphs en
dc.description.abstract This work deals with the hybridization of the complex networks framework and evolutionary algorithms. The population is visualized as an evolving complex network, which exhibits non-trivial features. This paper investigates briefly the time development of complex network within the run of selected metaheuristic algorithm, which is Differential Evolution (DE). This paper also briefly discuss possible utilization of the complex network attributes such as adjacency graph, centralities, clustering coefficient and others. Experiments were performed for one selected DE strategy and one simple test function. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006436
utb.identifier.obdid 43876294
utb.identifier.scopus 2-s2.0-84964786438
utb.identifier.wok 000385237600047
utb.source d-scopus
dc.date.accessioned 2016-07-26T14:58:31Z
dc.date.available 2016-07-26T14:58:31Z
utb.identifier.utb-sysno 87691
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Janoštík, Jakub
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.affiliation Roman Senkerik, Adam Viktorin, Michal Pluhacek, Jakub Janostik and Zuzana Kominkova Oplatkova R. Senkerik (si) • A. Viktorin • M. Pluhacek • J. Janostik • Z.K. Oplatkova Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlín, Czech Republic e-mail: senkerik@fai.utb.cz A. Viktorin e-mail: aviktorin@fai.utb.cz M. Pluhacek e-mail: pluhacek@fai.utb.cz Z.K. Oplatkova e-mail: oplatkova@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic—GACR P103/15/06700S, further by 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) and also 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 project No. IGA/CebiaTech/2016/007.
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