Kontaktujte nás | Jazyk: čeština English
| Název: | Particle swarm optimization with distance based repulsivity | ||||||||||
| Autor: | Pluháček, Michal; Zelinka, Ivan; Šenkeřík, Roman; Viktorin, Adam; Kadavý, Tomáš | ||||||||||
| Typ dokumentu: | Recenzovaný odborný článek (English) | ||||||||||
| Zdrojový dok.: | Mendel. 2018, vol. 24, issue 2, p. 81-86 | ||||||||||
| ISSN: | 1803-3814 (Sherpa/RoMEO, JCR) | ||||||||||
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| DOI: | https://doi.org/10.13164/mendel.2018.2.081 | ||||||||||
| Abstrakt: | In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research. © 2018, Brno University of Technology. All rights reserved. | ||||||||||
| Plný text: | https://mendel-journal.org/index.php/mendel/article/view/21 | ||||||||||
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