Emergency logistics routing optimization algorithm based on FSACO

Authors:
Li-Yi Zhang;Teng Fei;Ting Liu;Jin Zhang;Yi Li
Affiliations:
Information Engineering College, Tianjin University of Commerce, Tianjin, China;Information Engineering College, Tianjin University of Commerce, Tianjin, China;Information Engineering College, Tianjin University of Commerce, Tianjin, China;Office of Equipment, First Hospital of Shanxi University of Medicine, Taiyuan, China;Information Engineering College, Tianjin University of Commerce, Tianjin, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Year:
2011

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Abstract

Emergency logistics routing problem, which is premise with the time requirements for emergency logistics and aims at maximum saving delivery time for relief supplies, is a reasonable arrangement of vehicles to run routes. According to the characteristics of time which emergency logistics emphasis on, the delivery route optimization model which the number of delivery vehicles less than demand areas is been established, besides, it has been solved by the Fish-Swarm Ant Colony Optimization (FSACO). Simulation results show that the algorithm compared with ant colony algorithm has better optimization quality.