Kontaktujte nás | Jazyk: čeština English
Název: | PSO as complex network—capturing the inner dynamics—initial study |
Autor: | Pluháček, Michal; Janoštík, Jakub; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Proceedings of the Second International Afro-European Conference for Industrial Advancement (AECIA 2015)Advances in Intelligent Systems and Computing. 2016, vol. 427, p. 551-559 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 9783319295039 |
DOI: | https://doi.org/10.1007/978-3-319-29504-6_51 |
Abstrakt: | This paper presents an initial proposal of methodology for converting the inner dynamics of PSO algorithm into complex network. The motivation is in the recent trend of adaptive methods for improving the performance of evolutionary computational techniques. It seems very likely that the complex network and its statistical characteristics can be used within those adaptive approaches. The methodology described in this paper manages to put significant amount of information about the inner dynamics of PSO algorithm into a complex network. © Springer International Publishing Switzerland 2016. |
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-29504-6_51 |
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