Emergency Logistics Routing Optimization Algorithm Based on FSACO

被引：0
|
作者：
Zhang, Li-Yi [1 ]
Fei, Teng [1 ]
Liu, Ting [1 ]
Zhang, Jin [2 ]
Li, Yi [1 ]
机构：
[1] Tianjin Univ Commerce, Informat Engn Coll, Tianjin, Peoples R China
[2] First Hosp Shanxi Univ Med, Off Equipment, Tianjin, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT I | 2011年 / 7002卷
关键词：
Emergency logistics; Routing Optimization; Fish-Swarm Ant Colony Optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：163 / +
页数：2
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