Application of improved ant colony algorithm in vehicle scheduling problem

被引：0
|
作者：
Wang Rui [1 ]
Wang Jinguo [2 ]
Wang Na [3 ]
机构：
[1] Jilin Business & Technol Coll, Dept Informat Engn, Changchun, Peoples R China
[2] Jilin Univ, Hosp 1, Dept Urol, Changchun, Peoples R China
[3] Jilin Univ, Hosp 1, Dept Anesthesiol, Changchun, Peoples R China
来源：
PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015) | 2015年 / 10卷
关键词：
Vehicle Scheduling; Ant Colony Algorithm; Pheromone;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the ant colony algorithms is studied, and improve the shortcomings of the algorithm, And the improved algorithm is introduced into the field of logistics transportation. Aiming at the complexity and uncertainty of logistics transportation vehicle scheduling problem, a new algorithm is designed. The experimental results show that the improved algorithm can choose the transport route, speed up the transportation speed, improve the service quality, reduce the transportation cost and increase economic benefits.
引用
收藏
页码：656 / 659
页数：4
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