Study on the Route Optimization of Military Logistics Distribution in Wartime Based on the Ant Colony Algorithm

Hongtao Shi, Yucai Dong, Lianghai Yi, Dongyun Zheng, Hong Ju, Erchang Ma, Weidong Li

Abstract


Because of the impacts from the road conditions and the hostile attacking, the military logistics distribution in wartime should consider the pressure degrees of various demand points to the materials, so it is much more complex than the common logistics. Aiming at the actual situation of the military logistics distribution in wartime, the basic ant colony algorithm is improved in the article, and the software of MATLAB is used to simulate the improved algorithm. The result indicates that the algorithm possesses higher solving efficiency, and can fulfill the requirement of the route optimization of the military logistics distribution in wartime.


Full Text: PDF DOI: 10.5539/cis.v3n1p139

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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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