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Title: | Capturing inner dynamics of firefly algorithm in complex network—initial study |
Author: | Janoštík, Jakub; Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan; Špaček, František |
Document type: | Conference paper (English) |
Source document: | Proceedings of the Second International Afro-European Conference for Industrial Advancement (AECIA 2015)Advances in Intelligent Systems and Computing. 2016, vol. 427, p. 571-577 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 9783319295039 |
DOI: | https://doi.org/10.1007/978-3-319-29504-6_53 |
Abstract: | In this paper the idea of capturing inner dynamics of evolutionary process in complex network is discussed. Complex network, in itself, can contain large number of information about running evolutionary process. Consequently this information can be used in subsequent adaptive control of algorithm. We present initial study of methodology for capturing the information about algorithm and present possible uses for created networks. For this study the Firefly algorithm was selected. © Springer International Publishing Switzerland 2016. |
Full text: | https://link.springer.com/chapter/10.1007/978-3-319-29504-6_53 |
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