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

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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 ivan.zelinka@vsb.cz
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.
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