Tuning the Lozi map in chaos driven PSO inspired by the multi-chaotic approach

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

Title:	Tuning the Lozi map in chaos driven PSO inspired by the multi-chaotic approach
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. 79-88
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-07400-9
DOI:	https://doi.org/10.1007/978-3-319-07401-6_8
Abstract:	In this paper a previous successful research on chaos enhanced particle swarm optimization algorithm (PSO) is expanded. The possibility of adaptive change of control parameters of chaotic systems that is used as a pseudo- random number generator for the velocity calculation in PSO algorithm is investigated. To evaluate the performance of newly designed algorithm the CEC´ 13 benchmark set was used. © Springer International Publishing Switzerland 2014
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_8
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Ivan ZELINKA a Donald David DAVENDRA. Tuning the Lozi map in chaos driven PSO inspired by the multi-chaotic approach. In: Advances in Intelligent Systems and Computing [online]. Ostrava: Springer-Verlag, 2014, s. 79-88. [cit. 2024-11-22]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-07401-6_8.

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