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Study and Analysis of Particle Swarm Optimization: A Review

2nd National Conference on Information and Communication Technology
© 2011 by IJCA Journal
Number 1 - Article 3
Year of Publication: 2011
Hemlata S. Urade
Prof. Rahila Patel

Hemlata S Urade and Prof. Rahila Patel. Article: Study and Analysis of Particle Swarm Optimization: A Review. IJCA Proceedings on 2nd National Conference on Information and Communication Technology NCICT(4):1-5, November 2011. Full text available. BibTeX

	author = {Hemlata S. Urade and Prof. Rahila Patel},
	title = {Article: Study and Analysis of Particle Swarm Optimization: A Review},
	journal = {IJCA Proceedings on 2nd National Conference on Information and Communication Technology},
	year = {2011},
	volume = {NCICT},
	number = {4},
	pages = {1-5},
	month = {November},
	note = {Full text available}


Particle swarm optimization is a global optimization algorithm that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. This paper presents a review on PSO in single and multiobjective optimization. The paper contains the basic PSO algorithm and various techniques used in pre-existing algorithms. It also describes the simulation result which is carried out on benchmark functions of single objective optimization with the help of basic PSO. Study of literature shows future direction to enhance the performance of PSO.


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