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Hybridization of multi-chaotic dynamics and adaptive control parameter adjusting jDE strategy

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dc.title Hybridization of multi-chaotic dynamics and adaptive control parameter adjusting jDE strategy en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Zelinka, Ivan
dc.contributor.author Viktorin, Adam
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319580876
dc.date.issued 2017
utb.relation.volume 576
dc.citation.spage 77
dc.citation.epage 87
dc.event.title 22nd International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent Image Processing, Bio-Inspired Robotics, MENDEL 2016
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2016-06-08
dc.event.edate 2016-06-10
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-58088-3_8
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-58088-3_8
dc.subject Deterministic chaos en
dc.subject Differential Evolution en
dc.subject jDE en
dc.description.abstract This research deals with the hybridization of several approaches for evolutionary algorithms, which are the adaptive control parameter adjusting strategy and multi-chaotic dynamics driving the selection of indices in Differential Evolution (DE). The novelty of the paper is given by the experiments with the multi-chaos-driven adaptive DE concept inside adaptive parameter adjusting DE strategies. These experiments are representing the investigations on the mutual influences of several different randomizations types together with adaptive DE strategies. The multi-chaotic concept is representing the adaptive switching between two different chaotic systems based on the progress of individuals within population. This paper is aimed at the embedding of discrete dissipative chaotic systems in the form of multi-chaotic pseudo random number generators for the jDE, which is the state of the art representative of simple adaptive control parameter adjusting strategy for DE. Repeated simulations for two different combinations of driving chaotic systems were performed on the IEEE CEC 13 benchmark set. Finally, the obtained results are compared with the canonical not-chaotic jDE. © Springer International Publishing AG 2017. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007124
utb.identifier.scopus 2-s2.0-85019719439
utb.source d-scopus
dc.date.accessioned 2017-08-01T08:27:14Z
dc.date.available 2017-08-01T08:27:14Z
dc.description.sponsorship IGA/CebiaTech/2016/007, UTB, Univerzita Tomáše Bati ve Zlíně; P103/15/06700S, GACR, Grantová Agentura České Republiky; VŠB-TUO, Vysoká Škola Bánská - Technická Univerzita Ostrava
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.affiliation Roman Senkerik 1(&) , Michal Pluhacek 1 , Ivan Zelinka 2 , Adam Viktorin 1 , and Zuzana Kominkova Oplatkova 1 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik,pluhacek,aviktorin,oplatkova}@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 Pro- gramme 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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