An exploration technique for the interacted multiple ant colonies optimization framework
Interacted Multiple Ant Colonies Optimization (IMICO)is a newly proposed framework. In this framework several colonies of artificial ants are utilized. These colonies are working coopereatively to solve an optimization problem using some interaction technique. Explaration technique is doing an essen...
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2010
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my.uum.repo.39332013-01-21T02:09:09Z http://repo.uum.edu.my/3933/ An exploration technique for the interacted multiple ant colonies optimization framework Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md. Norwawi, Norita QA76 Computer software Interacted Multiple Ant Colonies Optimization (IMICO)is a newly proposed framework. In this framework several colonies of artificial ants are utilized. These colonies are working coopereatively to solve an optimization problem using some interaction technique. Explaration technique is doing an essential job in this framework. This technique is responsible for directing the activity of utilized colonies towards the difference parts of the huge search space. This paper describes the newly proposed IMACO framework and proposes an effectiveexploration technique. Computational tests show that the new exploration technique can furthermore improve the IMICO performance. These tests also show the capability of IMICO to outperform other well known ant algorithms like the ant colony system and max-min ant system. 2010-01 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/3933/1/AlaA.pdf Aljanaby, Alaa and Ku-Mahamud, Ku Ruhana and Md. Norwawi, Norita (2010) An exploration technique for the interacted multiple ant colonies optimization framework. In: 2010 International Conference on Intelligent System, Modelling and Simulation, 27 – 29 January 2010, Liverpool, United Kingdom. (Unpublished) http://dx.doi.org/10.1109/ISMS.2010.28 |
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QA76 Computer software Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md. Norwawi, Norita An exploration technique for the interacted multiple ant colonies optimization framework |
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Interacted Multiple Ant Colonies Optimization (IMICO)is a newly proposed framework. In this framework several colonies of artificial ants are utilized. These colonies are working coopereatively to solve an optimization problem using some interaction technique. Explaration technique is doing an essential job in this framework. This technique is responsible for directing the activity of utilized colonies towards the difference parts of the huge search space. This paper describes the newly proposed IMACO framework and proposes an effectiveexploration technique. Computational tests show that the new exploration technique can furthermore improve the IMICO performance. These tests also show the capability of IMICO to outperform other well known ant algorithms like the ant colony system and max-min ant system. |
format |
Conference or Workshop Item |
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 |
An exploration technique for the interacted multiple ant colonies optimization framework |
title_short |
An exploration technique for the interacted multiple ant colonies optimization framework |
title_full |
An exploration technique for the interacted multiple ant colonies optimization framework |
title_fullStr |
An exploration technique for the interacted multiple ant colonies optimization framework |
title_full_unstemmed |
An exploration technique for the interacted multiple ant colonies optimization framework |
title_sort |
exploration technique for the interacted multiple ant colonies optimization framework |
publishDate |
2010 |
url |
http://repo.uum.edu.my/3933/1/AlaA.pdf http://repo.uum.edu.my/3933/ http://dx.doi.org/10.1109/ISMS.2010.28 |
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13.18916 |