Ant colony optimization in dynamic environments

Chen, Fei Huang and Nor Rafidah Mohamad, and Teo, Jason Tze Wi (2007) Ant colony optimization in dynamic environments. In: International Multiconference of Engineers and Computer Scientists , 21-23 March 2007, Kowloon, China.

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Abstract

A comparison of six basic Ant Colony Optimization (ACO) in dynamic environment was studied in this paper. Dynamic Traveling Salesman Problem (TSP) will be used as a dynamic environment. A number of cities are swap over time to make the TSP environment dynamic. A pheromone equalization strategy was applied in all the six ACO to react to the change. Three sets of TSP are used in this experiment. The result will show which of the six basic ant algorithms work best in dynamic environment.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Computer Science, Theory & Methods, Engineering, Electrical & Electronic
Subjects: Q Science > Q Science (General)
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 26 Sep 2011 09:33
Last Modified: 30 Dec 2014 06:55
URI: http://eprints.ums.edu.my/id/eprint/1162

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