Study on the time development of complex network for metaheuristic

Šenkeřík, Roman; Viktorin, Adam; Pluháček, Michal; Janoštík, Jakub; Komínková Oplatková, Zuzana

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.