Chaos driven PSO with ensemble of priority factors

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David

Title:	Chaos driven PSO with ensemble of priority factors
Author:	Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David
Document type:	Conference paper (English)
Source document:	Advances in Intelligent Systems and Computing. 2014, vol. 289, p. 89-97
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-07400-9
DOI:	https://doi.org/10.1007/978-3-319-07401-6_9
Abstract:	In this paper a new approach for PSO algorithm driven by chaotic pseudorandom number generator is investigated. The ensemble learning method that has been successfully implemented in many evolutionary computational techniques is applied here for the selection of priority factors in the velocity calculations formula. The goal is to improve the performance of chaos driven PSO. The promising results are compared with previously published results of SPSO-2011 on the CEC´ 13 benchmark set. © Springer International Publishing Switzerland 2014
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_9
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Ivan ZELINKA a Donald David DAVENDRA. Chaos driven PSO with ensemble of priority factors. In: Advances in Intelligent Systems and Computing [online]. Ostrava: Springer-Verlag, 2014, s. 89-97. [cit. 2024-11-25]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-07401-6_9.

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