Kontaktujte nás | Jazyk: čeština English
Název: | PSO with partial population restart based on complex network analysis | ||||||||||
Autor: | Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman; Kadavý, Tomáš; Zelinka, Ivan | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | 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 | ||||||||||
Abstrakt: | 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. | ||||||||||
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16 | ||||||||||
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