Particle Swarm Optimization with Distance Based Repulsivity

Mendel

Ivan Zelinka¹  Adam Viktorin²  Michal Pluhacek²  Roman Senkerik²  Tomas Kadavy² 

[1] Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science;Tomas Bata University in Zlin, Faculty of Applied Informatics;

关键词: Swarm Intelligence;    Particle Swarm Optimization;    Repulsive;    Distance based;   

DOI  :  10.13164/mendel.2018.2.081

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown