Comparison of swarm and evolutionary based algorithms for the stabilization of chaotic oscillations

Šenkeřík, Roman; Zelinka, Ivan; Pluháček, Michal; Viktorin, Adam

dc.title	Comparison of swarm and evolutionary based algorithms for the stabilization of chaotic oscillations	en
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Viktorin, Adam
dc.relation.ispartof	Lecture Notes in Electrical Engineering
dc.identifier.issn	1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-50903-7
dc.date.issued	2017
utb.relation.volume	415 LNEE
dc.citation.spage	63
dc.citation.epage	73
dc.event.title	Proceedings of the International Conference on Advances in Electrical Engineering and Related Sciences - Theory and Application, AETA 2016
dc.event.sdate	2016-12-08
dc.event.edate	2016-12-10
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-50904-4_7
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-50904-4_7
dc.subject	Deterministic chaos	en
dc.subject	Differential evolution	en
dc.subject	Optimization	en
dc.subject	Oscillations	en
dc.subject	PSO	en
dc.subject	Stabilization	en
dc.description.abstract	In this research, evolutionary based algorithm Differential Evolution (DE) is compared with swarm based optimization technique PSO in the task of optimal evolutionary tuning of controller parameters for the stabilization of nonlinear chaotic oscillations of the two-dimensional Lozi map. The novelty of the approach is that the most utilized examples of evolutionary/swarm based algorithms are compared directly on the highly nonlinear and complex multimodal optimization and simulation task. The simulations were performed for two different required final behavior of the chaotic system. © Springer International Publishing AG 2017.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006954
utb.identifier.obdid	43877308
utb.identifier.scopus	2-s2.0-85009448112
utb.identifier.wok	000416210300007
utb.source	d-scopus
dc.date.accessioned	2017-07-13T14:50:25Z
dc.date.available	2017-07-13T14:50:25Z
dc.description.sponsorship	CZ.1.05/2.1.00/03.0089, ERDF, European Regional Development Fund; GACR P103/15/06700S, TA ČR, Technologická Agentura České Republiky
dc.description.sponsorship	Grant Agency of the Czech Republic [GACR P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Grant of SGS of VSB - Technical University of Ostrava, Czech Republic [SP2016/175]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2016/007]
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Viktorin, Adam
utb.fulltext.affiliation	Roman Senkerik1(&), Ivan Zelinka2, Michal Pluhacek1, and Adam Viktorin1 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik,pluhacek,aviktorin}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic [email protected]
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant of SGS No. SP2016/175 of VSB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/CebiaTech/2016/007.