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Multi-chaotic approach for particle acceleration in PSO
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| dc.title | Multi-chaotic approach for particle acceleration in PSO | en |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Zelinka, Ivan | |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dc.relation.ispartof | Hybrid Metaheuristics (HM 2016) | |
| dc.identifier.issn | 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.identifier.isbn | 978-3-319-39635-4 | |
| dc.identifier.isbn | 978-3-319-39636-1 | |
| dc.date.issued | 2016 | |
| utb.relation.volume | 9668 | |
| dc.citation.spage | 75 | |
| dc.citation.epage | 86 | |
| dc.event.title | 10th International Workshop on Hybrid Metaheuristics, HM 2016 | |
| dc.event.location | Plymouth | |
| utb.event.state-en | England | |
| utb.event.state-cs | Anglie | |
| dc.event.sdate | 2016-06-08 | |
| dc.event.edate | 2016-06-10 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | Springer Verlag | |
| dc.identifier.doi | 10.1007/978-3-319-39636-1_6 | |
| dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-319-39636-1_6 | |
| dc.subject | Acceleration constant | en |
| dc.subject | Chaos | en |
| dc.subject | Particle swarm optimization | en |
| dc.subject | PSO | en |
| dc.description.abstract | This paper deals with novel approach for hybridization of two scientific techniques: the evolutionary computational techniques and deterministic chaos. The Particle Swarm Optimization algorithm is enhanced with two pseudo-random number generators based on chaotic systems. The chaotic pseudo-random number generators (CPRNGs) are used to guide the particles movement through multiplying the accelerating constants. Different CPRNGs are used simultaneously in order to improve the performance of the algorithm. The IEEE CEC’13 benchmark suite is used to test the performance of the proposed method. © Springer International Publishing Switzerland 2016. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1006550 | |
| utb.identifier.obdid | 43876183 | |
| utb.identifier.scopus | 2-s2.0-84976634811 | |
| utb.identifier.wok | 000379305500006 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2016-08-09T14:02:57Z | |
| dc.date.available | 2016-08-09T14:02:57Z | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.contributor.internalauthor | Viktorin, Adam | |
| utb.fulltext.affiliation | Michal Pluhacek 1, Roman Senkerik 1, Adam Viktorin 1, Ivan Zelinka 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik,aviktorin}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz | |
| utb.fulltext.dates | - | |
| utb.fulltext.faculty | Faculty of Applied Informatics | |
| utb.fulltext.faculty | Faculty of Applied Informatics | |
| utb.fulltext.faculty | Faculty of Applied Informatics |
