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

Šenkeřík, Roman; Pluháček, Michal; Zelinka, Ivan; Davendra, Donald David; Komínková Oplatková, Zuzana; Jašek, Roman

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.