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Complex networks and evolutionary algorithms

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dc.title Complex networks and evolutionary algorithms en
dc.contributor.author Tomšů, Lukaš
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof MENDEL 2009
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-80-214-3884-2
dc.date.issued 2009
dc.citation.spage 55
dc.citation.epage 61
dc.event.title 15th International Conference on Soft Computing
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2009-06-24
dc.event.edate 2009-06-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Vysoké učení technické v Brně cs
dc.subject evolution strategy en
dc.subject differential evolution en
dc.subject complex networks en
dc.subject complex system en
dc.subject power law en
dc.description.abstract In this paper, we investigate properties of complex networks produced by a successful evolution strategy Differential Evolution (DE) Algorithm. Numerical simulations of different DE strategies are studied on a set of problems. We use the network theory to describe characteristics of these networks. Preferential attachment, which can lead to creation of scale-free networks, is present in some DE strategies. We try to identify scale-free topology in complex networks produced by these DE strategies and discuss our results. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001832
utb.identifier.obdid 43861073
utb.identifier.scopus 2-s2.0-84907936469
utb.identifier.wok 000273029500009
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:02Z
dc.date.available 2011-08-09T07:34:02Z
utb.contributor.internalauthor Tomšů, Lukaš
utb.contributor.internalauthor Zelinka, Ivan
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