Particle swarm optimization with distance based repulsivity

Pluháček, Michal; Zelinka, Ivan; Šenkeřík, Roman; Viktorin, Adam; Kadavý, Tomáš

dc.title	Particle swarm optimization with distance based repulsivity	en
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Viktorin, Adam
dc.contributor.author	Kadavý, Tomáš
dc.relation.ispartof	Mendel
dc.identifier.issn	1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2018
utb.relation.volume	24
utb.relation.issue	2
dc.citation.spage	81
dc.citation.epage	86
dc.type	article
dc.language.iso	en
dc.publisher	Brno University of Technology
dc.identifier.doi	10.13164/mendel.2018.2.081
dc.relation.uri	https://mendel-journal.org/index.php/mendel/article/view/21
dc.subject	distance based	en
dc.subject	particle swarm optimization	en
dc.subject	repulsive	en
dc.subject	swarm intelligence	en
dc.description.abstract	In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research. © 2018, Brno University of Technology. All rights reserved.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1009086
utb.identifier.obdid	43881153
utb.identifier.scopus	2-s2.0-85071969266
utb.source	j-scopus
dc.date.accessioned	2019-09-19T07:56:15Z
dc.date.available	2019-09-19T07:56:15Z
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.access	openAccess
utb.ou	CEBIA-Tech
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Viktorin, Adam
utb.contributor.internalauthor	Kadavý, Tomáš
utb.fulltext.affiliation	Michal Pluhacek 1, Ivan Zelinka 2, Roman Senkerik 1, Adam Viktorin 1, Tomas Kadavy 1 1 Tomas Bata University in Zlin Faculty of Applied Informatics Nad Stranemi 4511, 760 05 Zlin Czech Republic pluhacek@utb.cz, senkerik@utb.cz, aviktorin@utb.cz, kadavy@utb.cz 2 Technical University of Ostrava Faculty of Electrical Engineering and Computer Science 17. listopadu 15,708 33 Ostrava-Poruba Czech Republic ivan.zelinka@vsb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2018/003. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO), and Action IC1406, High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). The work was further supported by resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz).
utb.scopus.affiliation	Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, Zlin, 760 05, Czech Republic; Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic
utb.fulltext.projects	LO1303
utb.fulltext.projects	MSMT-7778/2014
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089
utb.fulltext.projects	IGA/CebiaTech/2018/003
utb.fulltext.projects	ImAppNIO
utb.fulltext.projects	IC1406
utb.fulltext.projects	cHiPSet
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics