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Chaos particle swarm optimization with ensemble of chaotic systems
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| dc.title | Chaos particle swarm optimization with ensemble of chaotic systems | en |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Davendra, Donald David | |
| dc.relation.ispartof | Swarm and Evolutionary Computation | |
| dc.identifier.issn | 2210-6502 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.date.issued | 2015 | |
| utb.relation.volume | 25 | |
| dc.citation.spage | 29 | |
| dc.citation.epage | 35 | |
| dc.type | article | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.identifier.doi | 10.1016/j.swevo.2015.10.008 | |
| dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S2210650215000838 | |
| dc.subject | Chaos | en |
| dc.subject | Ensemble learning | en |
| dc.subject | Optimization | en |
| dc.subject | Particle swarm | en |
| dc.subject | PSO | en |
| dc.description.abstract | In this study the Chaotic Particle Swarm Optimization (CPSO) algorithm with six simultaneously used chaotic pseudo-random number generators (CPRNG) is investigated. The implementation of chaotic sequences is detailed and discussed. The Ensemble learning approach is used for assigning CPRNGs to particles. The results of proposed algorithm on IEEE CEC′13 Real-Parameter Single Objective Optimization benchmark set are presented and compared with the SPSO-2011. © 2015 Elsevier B.V. All rights reserved. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1005786 | |
| utb.identifier.obdid | 43874039 | |
| utb.identifier.scopus | 2-s2.0-84952631438 | |
| utb.identifier.wok | 000367860600004 | |
| utb.source | j-scopus | |
| dc.date.accessioned | 2016-04-12T11:51:56Z | |
| dc.date.available | 2016-04-12T11:51:56Z | |
| dc.description.sponsorship | Grant Agency of the Czech Republic - GACR [P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within National Sustainability Programme Project [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; SGS of VSB-Technical University of Ostrava, Czech Republic [SP2015/141]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2015/057] | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.fulltext.affiliation | Michal Pluhacek a*, Roman Senkerik a, Donald Davendra b a Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 760 05 Zlin, Czech Republic b VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, 17. listopadu 15, Poruba, 708 33 Ostrava, Czech Republic * Corresponding author. E-mail addresses: pluhacek@fai.utb.cz (M. Pluhacek), senkerik@fai.utb.cz (R. Senkerik), donald.davendra@vsb.cz (D. Davendra). | |
| utb.fulltext.dates | Received 31 December 2014 Received in revised form 7 October 2015 Accepted 12 October 2015 Available online 21 October 2015 | |
| utb.fulltext.faculty | Faculty of Applied Informatics | |
| utb.fulltext.faculty | Faculty of Applied Informatics |
