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Controlling Complexity

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dc.title Controlling Complexity en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Saloun, Petr
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pavlech, Michal
dc.relation.ispartof How Nature Works: Complexity in Interdisciplinary Research and Applications
dc.identifier.isbn 978-3-319-00253-8
dc.date.issued 2014
dc.citation.spage 237
dc.citation.epage 276
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 Chaos en
dc.subject Complex Networks en
dc.subject Complexity en
dc.subject CML en
dc.description.abstract Complex systems and dynamics are present in many parts of daily life and branches of science. This chapter is continuation of our previous research, that introduced a novelty method of visualization and possible control of complex networks, that are used to visualize dynamics of evolutionary algorithms. Selected evolutionary algorithms are used as an example in order to show how its behavior can be understood as complex network and controlled via conversion into CML system—a model based on mutually joined nonlinear n equations. The main aim of this investigation was to show that dynamics of evolutionary algorithms can be converted via complex network to CML system and then controlled. Selected results of conversion of evolutionary dynamics into complex network and consequently to CML as well as controlled CML system are discussed here. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005837
utb.identifier.rivid RIV/70883521:28140/14:43870528!RIV15-MSM-28140___
utb.identifier.obdid 43870813
utb.identifier.obdid 43869222
utb.source c-riv
dc.date.accessioned 2016-04-28T10:37:09Z
dc.date.available 2016-04-28T10:37:09Z
dc.description.sponsorship P(GA13-08195S), S, V
dc.format.extent 290
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pavlech, Michal
riv.obor IN
utb.fulltext.affiliation Ivan Zelinka, Petr Saloun, Roman Senkerik, Michal Pavelch Department of Computing Science, Faculty of Electrical Engineering and Computing Science, Technical University of Ostrava, Tr. 17. Listopadu 15, Ostrava, Czech Republic e-mail: ivan.zelinka@vsb.cz e-mail: petr.saloun@vsb.cz Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 76001 Zlin, Czech Republic e-mail: senkerik@fai.utb.cz e-mail: pavelch@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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