Learning in Particle Swarm Optimization

Abstract

This paper presents particle swarm optimization based on learning from winner particle. (PSO-WS). Instead of considering gbest and pbest particle for position update, each particle considers its distance from immediate winner to update its position. Only winner particle follow general velocity and position update equation. If this strategy performs well for… (More)

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@inproceedings{Kennedy2015LearningIP, title={Learning in Particle Swarm Optimization}, author={James Kennedy and Russell C. Eberhart}, year={2015} }