• Devesh Bhatnagar
• Neeraj Kumar Kumawat

Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. The algorithm is widely used and rapidly developed for its easy implementation and few particles required to be tuned. The main idea of the principle of PSO is presented; 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.

Particle swarm optimization Algorithm, Swarm intelligence, Heuristic

"Anatomizing of Particle Swarm Optimization Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.711-714, June 2019, Available :http://www.jetir.org/papers/JETIR1907B25.pdf

"Anatomizing of Particle Swarm Optimization Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp711-714, June 2019, Available at : http://www.jetir.org/papers/JETIR1907B25.pdf