Chaos enhanced repulsive MC-PSO/DE hybrid

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

Název:

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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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. 2024-04-23]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-39378-0_40.

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