PSO as complex network—capturing the inner dynamics—initial study

Pluháček, Michal; Janoštík, Jakub; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David

dc.title	PSO as complex network—capturing the inner dynamics—initial study	en
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Janoštík, Jakub
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Davendra, Donald David
dc.relation.ispartof	Proceedings of the Second International Afro-European Conference for Industrial Advancement (AECIA 2015)
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	9783319295039
dc.date.issued	2016
utb.relation.volume	427
dc.citation.spage	551
dc.citation.epage	559
dc.event.title	2nd International Afro-European Conference for Industrial Advancement, AECIA 2015
dc.event.location	Villejuif
utb.event.state-en	France
utb.event.state-cs	Francie
dc.event.sdate	2015-09-09
dc.event.edate	2015-09-11
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-29504-6_51
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-29504-6_51
dc.subject	Complex network	en
dc.subject	Evolutionary algorithm	en
dc.subject	Particle Swarm Optimization	en
dc.subject	PSO	en
dc.description.abstract	This paper presents an initial proposal of methodology for converting the inner dynamics of PSO algorithm into complex network. The motivation is in the recent trend of adaptive methods for improving the performance of evolutionary computational techniques. It seems very likely that the complex network and its statistical characteristics can be used within those adaptive approaches. The methodology described in this paper manages to put significant amount of information about the inner dynamics of PSO algorithm into a complex network. © Springer International Publishing Switzerland 2016.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006258
utb.identifier.rivid	RIV/70883521:28140/16:43875435!RIV17-GA0-28140___
utb.identifier.obdid	43876181
utb.identifier.scopus	2-s2.0-84958259825
utb.identifier.wok	000371912400051
utb.source	d-scopus
dc.date.accessioned	2016-04-28T10:53:14Z
dc.date.available	2016-04-28T10:53:14Z
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Janoštík, Jakub
utb.contributor.internalauthor	Šenkeřík, Roman
utb.fulltext.affiliation	Michal Pluhacek, Jakub Janostik, Roman Senkerik, Ivan Zelinka and Donald Davendra M. Pluhacek ( ✉ ) ⋅ J. Janostik ⋅ R. Senkerik Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: [email protected] J. Janostik e-mail: [email protected] R. Senkerik e-mail: [email protected] I. Zelinka ⋅ D. Davendra Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic e-mail: [email protected] D. Davendra e-mail: [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 financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic 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. SP2015/142 and SP2015/141 of VSB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the projects No. IGA/FAI/2015/057 and IGA/FAI/2015/061.
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics