Teng Fei
Information Engineering College, Tianjin University of Commerce, Tianjin, 300134, China
Liyi Zhang
Information Engineering College, Tianjin University of Commerce, Tianjin, 300134, China
ABSTRACT
The emergency logistics with weak economy meets the prerequisite of emergent requirements, reducing cost and improving level of utilization. By optimization, emergency logistics with weak economy can decrease the cost of emergency logistics and make full use of the resource, in order to play a greater role in relief work and reconstruction for disaster area. This study comes up with path optimization model optimized by chaos ant colony algorithm. The effectiveness of this model is verified by GUI simulation.
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How to cite this article
Teng Fei and Liyi Zhang, 2013. Weak Economic Emergency Logistics Routing Optimization Based on Chaos Ant
Colony Algorithm. Information Technology Journal, 12: 7714-7718.
DOI: 10.3923/itj.2013.7714.7718
URL: https://scialert.net/abstract/?doi=itj.2013.7714.7718
DOI: 10.3923/itj.2013.7714.7718
URL: https://scialert.net/abstract/?doi=itj.2013.7714.7718
REFERENCES
- Dorigo, M. and L.M. Gambardella, 1997. Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE. Trans. Evol. Comput., 1: 53-66.
CrossRef - Fan, X., G. Xu and R. Yang, 2011. New ACO algorithm for optimizing of vehicle distribution routing. Comput. Eng. Appl., 47: 232-233.
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