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Optimization of chaos control by means of evolutionary algorithms

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dc.title Optimization of chaos control by means of evolutionary algorithms en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Navrátil, Eduard
dc.relation.ispartof DEXA 2007: 18th International Conference on Database and Expert Systems Applications, Proceedings
dc.identifier.isbn 978-0-7695-2932-5
dc.date.issued 2007
dc.citation.spage 163
dc.citation.epage 167
dc.event.title 18th International Conference on Database and Expert Systems Applications
dc.event.location Regensburg
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2007-09-03
dc.event.edate 2007-09-07
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE Computer Society en
dc.identifier.doi 10.1109/DEXA.2007.64
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4312878
dc.description.abstract This work deals with an evolutionary data processing, concretely optimization of control of chaos based on using EA. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control. As models of deterministic chaotic system one dimensional Logistic equation and two dimensional Henon map were used. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOAM) was used in four versions. For each version, simulations were repeated several times to show and check robustness of used method. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001923
utb.identifier.obdid 43865794
utb.identifier.scopus 2-s2.0-47849104264
utb.identifier.wok 000250954300034
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:14Z
dc.date.available 2011-08-09T07:34:14Z
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Navrátil, Eduard
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