Shamsuddin, Mohd Razif and Abu Bakar, Nordin and Abdul Kudus, Rosnawati (2010) Discovering heuristic knowledge in an ant colony optimization technique. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia.

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Abstract

Heuristic knowledge is an instinct naturally embedded in animals for navigational purposes. Ant Colony Optimization (ACO) has captured this mechanism into a well defined technique to solve TSP and routing problems. Now, ACO gives a general framework to solve other problems in similar nature. This paper tends to explain how knowledge discovery is done in ACO and tested the modified ACO in solving robot’s path planning problem. The results have been encouraging for ACO to produce a good navigational path for a robot to follow but the performance has been inferior to fuzzy approach used in the same problem domain. The results are discussed in detail and the comparative findings are justified clearly focusing on the unique criteria of the chosen ACO technique.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983-2078-40-1 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords:	Heuristics, Ant Colony, Optimization, Fuzzy Logic, Path Planning Problem
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	05 Jun 2014 01:11
Last Modified:	05 Jun 2014 01:11
URI:	https://repo.uum.edu.my/id/eprint/11241

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