Reviewing ensemble methods in Particle Swarm Optimization (PSO)

1Pranjali Dewangan, Dr. Neelam Sahu

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Abstract:

The Particle Swarm Optimization algorithm (Particle Swarm Optimization or PSO, [Kennedy and Eberhart, 1995] is an algorithm bioinspired, which is based on an analogy with the social behavior of certain species. Two basic influences of inspiration are recognized in PSO: The movement of flocks of birds, in which each individual dis- square using simple rules for adjusting its speed depending on of the observations he makes about the close individuals in the flock. A social model, in which each particle represents a belief, and influences between individuals, the approach of individuals to others by diffusion of said beliefs.

Keywords:

Particle Swarm Optimization (PSO), algorithm

Paper Details
Month3
Year2020
Volume24
IssueIssue 3
Pages6985-6995