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Preliminary study on the particle swarm optimization with the particle performance evaluation

Repozitář DSpace/Manakin

Název: Preliminary study on the particle swarm optimization with the particle performance evaluation
Autor: Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: Artificial Intelligence and Soft Computing 2014, Part I. 2014, vol. 8467, p. 395-405
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-319-07172-5
DOI: https://doi.org/10.1007/978-3-319-07173-2_34
Abstrakt: In this paper, the novel concept of particle performance evaluation within the particle swarm optimization algorithm (PSO) is introduced. In this method the contribution of each particle to the process of obtaining the global best solution is investigated periodically. For the particle with no contribution to the global best solution over a given number of iterations the velocity calculation is changed; in the case of this presented research, in order to improve its performance towards the global trend.
Plný text: https://link.springer.com/chapter/10.1007/978-3-319-07173-2_34
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK a Ivan ZELINKA. Preliminary study on the particle swarm optimization with the particle performance evaluation. In: Artificial Intelligence and Soft Computing 2014, Part I [online]. Zakopane: Springer-Verlag Berlin, 2014, s. 395-405. [cit. 2024-11-12]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-07173-2_34.

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