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Investigation on evolutionary deterministic chaos control

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dc.title Investigation on evolutionary deterministic chaos control en
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof IFAC Proceedings Volumes (IFAC-PapersOnline)
dc.identifier.issn 1474-6670 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 0-08-045108-X
dc.identifier.isbn 978-0-08-045108-4
dc.date.issued 2005
utb.relation.volume 16
dc.citation.spage 1101
dc.citation.epage 1106
dc.event.title 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2005-07-03
dc.event.edate 2005-07-08
dc.type conferenceObject
dc.language.iso en
dc.subject Coupled map lattices en
dc.subject Differential evolution en
dc.subject Evolution en
dc.subject Optimisation en
dc.subject SOMA en
dc.subject Spatiotemporal chaos en
dc.description.abstract This contribution introduces an investigation on deterministic spatiotemporal chaos control based on evolutionary algorithms use. Two evolutionary algorithms are used for chaos control here: differential evolution and self-organizing migrating algorithm. Like a model of spatiotemporal chaos so called coupled map lattices are used. Main aim of this investigation was to show that evolutionary algorithms are capable of deterministic chaos control when cost function is properly defined. Investigation consists of four different case studies with increasing calculation complexity. For both algorithms each simulation was 50 times repeated to show and check robustness of used methods. Copyright © 2005 IFAC. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005025
utb.identifier.scopus 2-s2.0-79960723483
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:56:47Z
dc.date.available 2015-06-04T12:56:47Z
utb.contributor.internalauthor Zelinka, Ivan
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