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On the Evolutionary Optimization of Chaos Control - A Brief Survey

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dc.title On the Evolutionary Optimization of Chaos Control - A Brief Survey en
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2194-5365 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-33226-5
dc.identifier.isbn 978-3-642-33227-2
dc.date.issued 2013
utb.relation.volume 192
dc.citation.spage 35
dc.citation.epage 48
dc.event.title Nostradamus Conference
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-09
dc.event.edate 2012-09
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin en
dc.identifier.doi 10.1007/978-3-642-33227-2_7
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-33227-2_7
dc.description.abstract This work represents the brief introduction into the issues of evolutionary optimization of discrete chaotic systems. This work introduces and compares evolutionary approach representing tuning of parameters for an existing control method either with the standard cost function using the numerical desired state as the one of the input or blackbox type cost function, as well as meta-evolutionary approach representing synthesis of a whole control law by means of Analytic Programming (AP). The main part of this work is focused on the proper development of the cost function used in evolutionary process. As an example of discrete chaotic system, one-dimensional Logistic equation was used. For the experiments following soft computing tools were utilized: Symbolic regression tool Analytic Programming and evolutionary algorithms Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003134
utb.identifier.obdid 43869195
utb.identifier.scopus 2-s2.0-84874631125
utb.identifier.wok 000313767300007
utb.source d-wok
dc.date.accessioned 2013-02-24T06:51:46Z
dc.date.available 2013-02-24T06:51:46Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Roman Senkerik Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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