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Converting PSO dynamics into complex network - Initial study

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dc.title Converting PSO dynamics into complex network - Initial study en
dc.contributor.author Pluháček, Michal
dc.contributor.author Janoštík, Jakub
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2015 (ICNAAM-2015)
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9780735413924
dc.date.issued 2016
utb.relation.volume 1738
dc.event.title International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2015-09-23
dc.event.edate 2015-09-29
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4951904
dc.relation.uri http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4951904
dc.subject Complex network en
dc.subject Inner dynamic en
dc.subject Particle swarm optimization en
dc.subject Topology en
dc.description.abstract In this paper it is presented the initial study on the possibility of capturing the inner dynamic of Particle Swarm Optimization algorithm into a complex network structure. Inspired in previous works there are two different approaches for creating the complex network presented in this paper. Visualizations of the networks are presented and commented. The possibilities for future applications of the proposed design are given in detail. © 2016 Author(s). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006666
utb.identifier.obdid 43876188
utb.identifier.scopus 2-s2.0-84984585913
utb.identifier.wok 000380803300150
utb.source d-scopus
dc.date.accessioned 2016-10-25T12:38:04Z
dc.date.available 2016-10-25T12:38:04Z
dc.rights.access openAccess
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Janoštík, Jakub
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek1, Jakub Janostik1, Roman Senkerik1 and Ivan Zelinka2 1 Tomas Bata University in Zlín, Faculty of Applied Informatics Department of Informatics and Artificial Intelligence nám. T.G. Masaryka 5555, 760 01 Zlín, CZECH REPUBLIC 2 Department of Computer Science, Faculty of Electrical Engineering and Computer Science VB-TUO, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic
utb.fulltext.references -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic. 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. SP2015/142 and SP2015/141, VŠB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2015/057 and IGA/FAI/2015/061
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