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Chaos enhanced repulsive MC-PSO/DE hybrid

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Title: Chaos enhanced repulsive MC-PSO/DE hybrid
Author: Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam; Zelinka, Ivan
Document type: Conference paper (English)
Source document: 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
Abstract: 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.
Full text: https://link.springer.com/chapter/10.1007/978-3-319-39378-0_40
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN a Ivan ZELINKA. Chaos enhanced repulsive MC-PSO/DE hybrid. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Zakopane: Springer Verlag, 2016, s. 465-475. [cit. 2024-11-24]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-39378-0_40.

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