Particle Swarm Optimization with Distance Based Repulsivity

Particle Swarm Optimization with Distance Based Repulsivity

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...

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Bibliographic Details
Main Authors: Michal Pluhacek, Ivan Zelinka, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Format: Article
Language:English
Published: Brno University of Technology 2018-12-01
Series:Mendel
Subjects:
Swarm Intelligence
Particle Swarm Optimization
Repulsive
Distance based
Online Access:https://mendel-journal.org/index.php/mendel/article/view/21

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