Reviewing ensemble methods in Particle Swarm Optimization (PSO)
Pranjali Dewangan, Dr. Neelam Sahu
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.