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A Survey of Applications of Glowworm Swarm Optimization Algorithm

Published on December 2013 by Asha Gowda Karegowda, Mithilesh Prasad
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International Conference on Computing and information Technology 2013
Foundation of Computer Science USA
IC2IT - Number 1
December 2013
Authors: Asha Gowda Karegowda, Mithilesh Prasad
11d37003-341a-4acf-9cb0-5234d203302b

Asha Gowda Karegowda, Mithilesh Prasad . A Survey of Applications of Glowworm Swarm Optimization Algorithm. International Conference on Computing and information Technology 2013. IC2IT, 1 (December 2013), 39-42.

@article{
author = { Asha Gowda Karegowda, Mithilesh Prasad },
title = { A Survey of Applications of Glowworm Swarm Optimization Algorithm },
journal = { International Conference on Computing and information Technology 2013 },
issue_date = { December 2013 },
volume = { IC2IT },
number = { 1 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 39-42 },
numpages = 4,
url = { /proceedings/ic2it/number1/14390-1309/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and information Technology 2013
%A Asha Gowda Karegowda
%A Mithilesh Prasad
%T A Survey of Applications of Glowworm Swarm Optimization Algorithm
%J International Conference on Computing and information Technology 2013
%@ 0975-8887
%V IC2IT
%N 1
%P 39-42
%D 2013
%I International Journal of Computer Applications
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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Swarm Intelligence Glowworm Swarm Optimization Algorithm Clustering Optimization Problems