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.

Full text not available from this repository.


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 Paper (UNSPECIFIED)
Uncontrolled Keywords:Computer Science, Theory & Methods, Engineering, Electrical & Electronic
Subjects:Q Science > Q Science (General)
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:1162
Deposited By:IR Admin
Deposited On:26 Sep 2011 17:33
Last Modified:30 Dec 2014 14:55

Repository Staff Only: item control page

Browse Repository
   UMS News
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository