Particle Swarm Optimization with Distance Based Repulsivity
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Date
Authors
Pluhacek, Michal
Zelinka, Ivan
Senkerik, Roman
Viktorin, Adam
Kadavy, Tomas
Advisor
Referee
Mark
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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.
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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
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Peer-reviewed
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en