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Evolutionary Dynamics as the Structure of Complex Networks

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dc.title Evolutionary Dynamics as the Structure of Complex Networks en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.contributor.author Chadli, Mohammed
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Dao, Tran Trong
dc.contributor.author Skanderová, Lenka
dc.relation.ispartof Handbook of Optimization : From Classical to Modern Approach
dc.identifier.isbn 978-3-642-30503-0
dc.date.issued 2013
dc.citation.spage 215
dc.citation.epage 243
dc.event.location Heidelberg
utb.event.state-en Germany
utb.event.state-cs Německo
dc.type bookPart
dc.language.iso en
dc.publisher Springer-Verlag. Berlin
dc.subject Evolutionary algorithms en
dc.subject Complex networks en
dc.subject Vizualization en
dc.subject CML en
dc.subject Chaos en
dc.description.abstract This chapter presents a novel method for visualizing the dynamics of evolutionary algorithms in the form of complex networks. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a complex network is discussed, as well as between edges in a complex network and communication between individuals in a population. The possibility of visualizing the dynamics of a complex network using the coupled map lattices method and control by means of chaos control techniques are also discussed. Copyrght Springer-Verlag Berlin Heidelberg 2013. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005894
utb.identifier.rivid RIV/70883521:28140/13:43870034!RIV14-GA0-28140___
utb.identifier.obdid 43870249
utb.source c-riv
dc.date.accessioned 2016-04-28T10:37:20Z
dc.date.available 2016-04-28T10:37:20Z
dc.description.sponsorship P(EE., P(GA102/09/1680), S
dc.format.extent 1097
utb.identifier.utb-sysno 77176
utb.identifier.nkp 5554104
utb.contributor.internalauthor Šenkeřík, Roman
riv.obor IN
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