New logistics distribution route dispatching mode based on genetic algorithm-ant colony algorithm

被引：0

作者：

Yi, Fasheng ^{[1
,2
]}

Li, Xiaoling ^{[1
,2
]}

Yuan, Jimin ^{[3
]}

机构：

[1] [1,Yi, Fasheng

[2] 1,Li, Xiaoling

[3] Yuan, Jimin

来源：

Li, Xiaoling | 1600年 / Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia卷 / 18期

关键词：

Ant colony algorithms - Application examples - Combination - Constraint conditions - Logistics distribution - Logistics enterprise - Optimal solutions - Route optimization;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

For multi-target route optimization with constraint conditions, the mathematical model for logistics distribution route optimization is built to accelerate response speed of logistics enterprises to customers, improve service quality, and strengthen the satisfaction of customers, and a new algorithm with the combination of genetic and ant colony algorithms is proposed to solve the selection issues of such logistics route. Initial pheromone is formed with genetic algorithm, based on which the optimal solution is rapidly sought with ant colony algorithm, and complementary advantages are achieved between above two algorithms. Application examples and simulations are available for calculation, and the results show that such algorithm is practical and effective to optimize logistics distribution route.

引用

页码：313 / 318