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PSO with partial population restart based on complex network analysis

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Title: PSO with partial population restart based on complex network analysis
Author: Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman; Kadavý, Tomáš; Zelinka, Ivan
Document type: Conference paper (English)
Source document: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017, vol. 10334 LNCS, p. 183-192
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-319-59650-1
DOI: https://doi.org/10.1007/978-3-319-59650-1_16
Abstract: This study presents a hybridization of Particle Swarm Optimization with a complex network creation and analysis. A partial population is performed in certain moments of the run of the algorithm based on the information obtained from a complex network structure that represents the communication in the population. We present initial results alongside statistical evaluation and discuss future possibilities of this approach. © Springer International Publishing AG 2017.
Full text: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Adam VIKTORIN, Roman ŠENKEŘÍK, Tomáš KADAVÝ a Ivan ZELINKA. PSO with partial population restart based on complex network analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Logroño (La Rioja): Springer Verlag, 2017, s. 183-192. [cit. 2024-12-12]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16.

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