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Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation

Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. The framework of Interacted Multiple Ant Colonies Optimization (IMACO) is a recent proposition.It divides the ants'population into several colonies and empl...

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Main Authors: Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md. Norwawi, Norita
Format: Article
Language:English
Published: AICIT, Korea 2010
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/3929/1/Al.pdf
http://repo.uum.edu.my/3929/
http://dx.doi.org/10.4156/ijact.vol2.issue1.7
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spelling my.uum.repo.39292013-01-16T04:13:21Z http://repo.uum.edu.my/3929/ Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md. Norwawi, Norita QA76 Computer software Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. The framework of Interacted Multiple Ant Colonies Optimization (IMACO) is a recent proposition.It divides the ants'population into several colonies and employs certain techniques to organize the work of these colonies.This paper proposes new effective evaluation and exploration techniques for IMACO and experimentallv tests the stagnation behavior of IMACO. The performance of IMACO was demonstrated by comparing it with the best performing ant algorithms like Ant Colony System (ACS) and Max-Min Ant System (MMAS). The computational results show the superiority of lMACO. The results comparison shows that lMACO with the proposed techniques suffers less fronm stagnation than the best known ant algorithms of ACS and MMAS. AICIT, Korea 2010-03 Article PeerReviewed application/pdf en http://repo.uum.edu.my/3929/1/Al.pdf Aljanaby, Alaa and Ku-Mahamud, Ku Ruhana and Md. Norwawi, Norita (2010) Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation. International Journal of Advancements in Computing Technology (IJACT), 2 (1). pp. 78-85. ISSN 2233-9337 http://dx.doi.org/10.4156/ijact.vol2.issue1.7
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
Aljanaby, Alaa
Ku-Mahamud, Ku Ruhana
Md. Norwawi, Norita
Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
description Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. The framework of Interacted Multiple Ant Colonies Optimization (IMACO) is a recent proposition.It divides the ants'population into several colonies and employs certain techniques to organize the work of these colonies.This paper proposes new effective evaluation and exploration techniques for IMACO and experimentallv tests the stagnation behavior of IMACO. The performance of IMACO was demonstrated by comparing it with the best performing ant algorithms like Ant Colony System (ACS) and Max-Min Ant System (MMAS). The computational results show the superiority of lMACO. The results comparison shows that lMACO with the proposed techniques suffers less fronm stagnation than the best known ant algorithms of ACS and MMAS.
format Article
author Aljanaby, Alaa
Ku-Mahamud, Ku Ruhana
Md. Norwawi, Norita
author_facet Aljanaby, Alaa
Ku-Mahamud, Ku Ruhana
Md. Norwawi, Norita
author_sort Aljanaby, Alaa
title Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
title_short Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
title_full Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
title_fullStr Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
title_full_unstemmed Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
title_sort interacted multiple ant colonies optimization framework: an experimental study of the evaluation and the exploration techniques to control the search stagnation
publisher AICIT, Korea
publishDate 2010
url http://repo.uum.edu.my/3929/1/Al.pdf
http://repo.uum.edu.my/3929/
http://dx.doi.org/10.4156/ijact.vol2.issue1.7
_version_ 1644278631170572288
score 13.211869

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