Kontaktujte nás | Jazyk: čeština English
Název: | Chaos enhanced repulsive MC-PSO/DE hybrid | ||||||||||
Autor: | Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam; Zelinka, Ivan | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016, vol. 9692, p. 465-475 | ||||||||||
ISSN: | 0302-9743 (Sherpa/RoMEO, JCR) | ||||||||||
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ISBN: | 978-3-319-39377-3 | ||||||||||
DOI: | https://doi.org/10.1007/978-3-319-39378-0_40 | ||||||||||
Abstrakt: | In this paper a previously proposed method is extended with pseudo-random number generator based on chaotic sequences. Several recent approaches for designing the evolutionary computational techniques are merged in the proposed method. The proposed method represents a hybridization of heterogeneous swarm based PSO and differential evolution extended with the chaotic sequences implementation. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set. © Springer International Publishing Switzerland 2016. | ||||||||||
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-39378-0_40 | ||||||||||
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