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PSO with attractive search space border points

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Title: PSO with attractive search space border points
Author: Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam; Kadavý, Tomáš
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. 10246 LNAI, p. 665-675
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-319-59059-2
DOI: https://doi.org/10.1007/978-3-319-59060-8_60
Abstract: One of the biggest drawbacks of the original Particle Swarm Optimization is the premature convergence and fast loss of diversity in the population. In this paper, we propose and discuss a simple yet effective modification to help the PSO maintain diversity and avoid premature convergence. The particles are randomly attracted towards the border points of the search space. We use the CEC13 Benchmark function set to test the performance of proposed method and compare it to original PSO. © Springer International Publishing AG 2017.
Full text: https://link.springer.com/chapter/10.1007/978-3-319-59060-8_60
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Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN a Tomáš KADAVÝ. PSO with attractive search space border points. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Zakopane: Springer Verlag, 2017, s. 665-675. [cit. 2025-01-09]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59060-8_60.

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