TBU Publications
Repository of TBU Publications

Multiswarm PSO with supersized swarms - Initial performance study

DSpace Repository

Show simple item record

dc.title Multiswarm PSO with supersized swarms - Initial performance study en
dc.contributor.author Pluháček, Michal
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 10.1063/1.4951903
dc.relation.uri http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4951903
dc.subject Multi-swarm Population size en
dc.subject Particle swarm optimization en
dc.description.abstract In this paper it is discussed and briefly experimentally investigated the performance of multi-swarm PSO with super-sized swarms. The selection of proper population size is crucial for successful PSO using. This work follows previous promising research. © 2016 Author(s). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006667
utb.identifier.obdid 43876200
utb.identifier.scopus 2-s2.0-84984559351
utb.identifier.wok 000380803300149
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 Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek1, 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
Find Full text

Files in this item

Show simple item record