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A Route Planning Optimization Model Based on Improved Ant Colony Algorithm

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2 Author(s)
Wang Yi-tao ; Sch. of Marine, Northwestern Polytech. Univ., Xi''an, China ; Li Jin-jun

Route planning is an important part of combat planning and it is also one of the hotspots and difficult problems of military operation research. According to the analysis of general route planning optimization problem, a method of route planning optimization is discussed based on improved ACA (ant colony algorithm). A series of schemes are proposed to improve the global convergence performance of the ACA. Simulation results verify that the method can gain satisfying route plan and the method can provide some reference value to related researchers.

Published in:

Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on

Date of Conference:

1-3 June 2009