Implementation on Particle Swarm Optimization Algorithm

Abstract

Author(s): Ms. Kirti, Mrs. Sonal Beniwal

Particle swarm optimization is a an optimization algorithm, which is based on swarm optimization. It is study from the research on the birds and fish flock movement behavior. PSO is widely used algorithm and rapidly developed for its easy implementation. The main working principle of PSO is represented in this research paper; analysis of PSO algorithm; the advantages and the shortcomings are summarized. At last this paper presents some kinds of improved versions of PSO and research situation, and the future research issues are also given.