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A Survey of Applications of Glowworm Swarm Optimization Algorithm

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IJCA Proceedings on International Conference on Computing and information Technology 2013
© 2013 by IJCA Journal
IC2IT - Number 1
Year of Publication: 2013
Authors:
Asha Gowda Karegowda
Mithilesh Prasad

Asha Gowda Karegowda and Mithilesh Prasad. Article: A Survey of Applications of Glowworm Swarm Optimization Algorithm. IJCA Proceedings on International Conference on Computing and information Technology 2013 IC2IT(1):39-42, December 2013. Full text available. BibTeX

@article{key:article,
	author = {Asha Gowda Karegowda and Mithilesh Prasad},
	title = {Article: A Survey of Applications of Glowworm Swarm Optimization Algorithm},
	journal = {IJCA Proceedings on International Conference on Computing and information Technology 2013},
	year = {2013},
	volume = {IC2IT},
	number = {1},
	pages = {39-42},
	month = {December},
	note = {Full text available}
}

Abstract

This paper presents a survey of applications of Glowworm swarm optimization (GSO) algorithms designed in the various fields. Glowworm Swarm Optimization (GSO) is a recent nature-inspired optimization algorithm that simulates the behavior of the lighting worms. GSO algorithm is suitable for a concurrent search of several solutions, having dissimilar or equal objective function values. A number of references are provided that describe applications of GSO algorithms in different domains, such as clustering and various optimization problems.

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