Hybrid ant colony optimization for grid computing

A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper.The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit.The agent concept is also...

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Main Authors:	Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	QA76 Computer software
Online Access:	http://repo.uum.edu.my/13592/1/PID259.pdf http://repo.uum.edu.my/13592/ http://www.icoci.cms.net.my
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Institution:	Universiti Utara Malaysia
Language:	English

id	my.uum.repo.13592
record_format	eprints
spelling	my.uum.repo.135922015-04-07T02:52:15Z http://repo.uum.edu.my/13592/ Hybrid ant colony optimization for grid computing Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana QA76 Computer software A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper.The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit.The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table.This facilitates the hybrid ant colony optimization technique in solving the stagnation problem in two ways within one cycle, thus minimize the total computational time of the jobs. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13592/1/PID259.pdf Abdul Nasir, Husna Jamal and Ku-Mahamud, Ku Ruhana (2009) Hybrid ant colony optimization for grid computing. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Institutionali Repository
url_provider	http://repo.uum.edu.my/
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Hybrid ant colony optimization for grid computing
description	A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper.The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit.The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table.This facilitates the hybrid ant colony optimization technique in solving the stagnation problem in two ways within one cycle, thus minimize the total computational time of the jobs.
format	Conference or Workshop Item
author	Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana
author_facet	Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana
author_sort	Abdul Nasir, Husna Jamal
title	Hybrid ant colony optimization for grid computing
title_short	Hybrid ant colony optimization for grid computing
title_full	Hybrid ant colony optimization for grid computing
title_fullStr	Hybrid ant colony optimization for grid computing
title_full_unstemmed	Hybrid ant colony optimization for grid computing
title_sort	hybrid ant colony optimization for grid computing
publishDate	2009
url	http://repo.uum.edu.my/13592/1/PID259.pdf http://repo.uum.edu.my/13592/ http://www.icoci.cms.net.my
_version_	1644281227955404800

Hybrid ant colony optimization for grid computing

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