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Evolutionary control of chaotic lozi map by means of chaos driven Differential Evolution

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dc.title Evolutionary control of chaotic lozi map by means of chaos driven Differential Evolution en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Jašek, Roman
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-41967-6
dc.date.issued 2014
utb.relation.volume 282 LNEE
dc.citation.spage 371
dc.citation.epage 380
dc.event.title International Conference on Advanced Engineering Theory and Applications 2013, AETA 2013
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2013-12-10
dc.event.edate 2013-12-13
dc.type conferenceObject
dc.language.iso en
dc.identifier.doi 10.1007/978-3-642-41968-3_38
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-41968-3_38
dc.subject Chaos control en
dc.subject Differential Evolution en
dc.subject Evolutionary algorithms en
dc.subject Lozi map en
dc.subject Optimization en
dc.description.abstract In this paper, Differential Evolution (DE) is used for the evolutionary optimization of control of chaotic Lozi map system. The novality of the approach is that the identical selected discrete dissipative chaotic system is used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimization was performed for two types of case studies and developed cost functions. © Springer-Verlag Berlin Heidelberg 2014. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004627
utb.identifier.obdid 43870829
utb.identifier.scopus 2-s2.0-84958527923
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:54:34Z
dc.date.available 2015-06-04T12:54:34Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Davendra, Donald David
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Jašek, Roman
utb.fulltext.affiliation Roman Senkerik1, Michal Pluhacek1, Ivan Zelinka2, Donald Davendra2, Zuzana Kominkova Oplatkova1, and Roman Jasek1 1 Faculty of Applied Informatics, Tomas Bata University in Zlin T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik,pluhacek,kominkovaoplatkova,jasek}@fai.utb.cz 2 Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, 17. listopadu 15,708 33 Ostrava-Poruba, Czech Republic {ivan.zelinka,donald.davendra}@vsb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic- GACR P103/13/08195S, by the project Development of human resources in research and development of latest soft computing methods and their application in practice, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Program Education for Competitiveness; by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, by the Technology Agency of the Czech Republic under the Project TE01020197, and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012.
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