Aljanaby, Alaa and Ku-Mahamud, Ku Ruhana and Md Norwawi, Norita (2010) Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework. In: 10th IASTED International Conference Artificial Intelligence and Applications (AIA 2010), 15-17 February 2010, Innsbruck, Austria.

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Abstract

Interacted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. Pheromone evaluation mechanism is playing a central role in this framework. This paper describes the newly proposed IMACO framework and proposes a more effective pheromone evaluation mechanism. Computational tests show that the new pheromone evaluation mechanism can furthermore improve the IMACO performance. These tests also show the capability of IMACO to outperform other well known ant algorithms like ant colony system and max-min ant system.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-0-88986-817-5 ISBN (CD): 978-0-88986-818-2
Uncontrolled Keywords:	Ant colony optimization, combinatorial optimization problems, search stagnation, and pheromone evaluation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	College of Arts and Sciences
Depositing User:	Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited:	25 Oct 2011 07:33
Last Modified:	21 Jan 2013 02:07
URI:	https://repo.uum.edu.my/id/eprint/3992

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