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A Comparative Analysis for Determining the Optimal Path using PSO and GA

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Kavitha Sooda
T. R. Gopalakrishnan Nair

Kavitha Sooda and Gopalakrishnan T R Nair. Article: A Comparative Analysis for Determining the Optimal Path using PSO and GA. International Journal of Computer Applications 32(4):8-12, October 2011. Full text available. BibTeX

	author = {Kavitha Sooda and T. R. Gopalakrishnan Nair},
	title = {Article: A Comparative Analysis for Determining the Optimal Path using PSO and GA},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {32},
	number = {4},
	pages = {8-12},
	month = {October},
	note = {Full text available}


Significant research has been carried out recently to find the optimal path in network routing. Among them, the evolutionary algorithm approach is an area where work is carried out extensively. We in this paper have used particle swarm optimization (PSO) and genetic algorithm (GA) for finding the optimal path and the concept of region based network is introduced along with the use of indirect encoding. We demonstrate the advantage of fitness value and hop count in both PSO and GA. A comparative study of PSO and genetic algorithm (GA) is carried out, and it was found that PSO converged to arrive at the optimal path much faster than GA.


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