Research of Generalized Ant Colony Algorithm for Logistics and Distribution

被引：1
|
作者：
Zhang, Daiyuan [1 ]
Zhao, Hua [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Jiangsu, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
Ant Colony Optimization; Generalized Ant Colony Optimization Algorithm; NP-hard; Logistics; Vehicle Routing Problem;
D O I：
10.4028/www.scientific.net/AMM.513-517.691
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Logistics and distribution problem, in essence, is the vehicle routing problem, belonging to NP-hard problem. For drawbacks of basic ant algorithm such as searching for a long time, easy to fall into local optimum, generalized ant colony algorithm has been proposed. Applying the generalized ant colony algorithm to logistics and distribution problem can improve the utilization of the vehicle; reduce transportation costs and achieve the purpose of scientific management of logistics.
引用
收藏
页码：691 / 694
页数：4
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