Particle Swarm Optimization with Distance Based Repulsivity
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Date
2018-12-21
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Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Automation and Computer Science, Brno University of Technology
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Abstract
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.
Description
Citation
Mendel. 2018 vol. 24, č. 2, s. 81–86. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/21
https://mendel-journal.org/index.php/mendel/article/view/21
Document type
Peer-reviewed
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Published version
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Language of document
en