The Research on the Optimization of Transportation Routing for Fresh Food by Improved Genetic Algorithm

被引：5
|
作者：
Wu, Ying [1 ,2 ]
Meng, Zibo [3 ]
Peng, Min [2 ]
机构：
[1] Hunan Commun Polytech, Changsha, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China
[3] Changsha Environm Protect Coll, Changsha, Hunan, Peoples R China
来源：
SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4 | 2012年 / 178-181卷
关键词：
Fresh food; Improved Genetic Algorithm; Customer satisfaction; Time window;
D O I：
10.4028/www.scientific.net/AMM.178-181.1790
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In this paper, we research the problem of transportation routing for fresh food. We analyzed the limit of soft and hard time windows in transportation and formed the time window with fuzzy appointment based on customer satisfaction. The optimization of transportation routes mathematical model was structured. The improved genetic algorithm has been applied to matlab progam. This progam has found the optimal solution in the model. We used a case to prove the feasibility of the model and the algorithm. It has twelve customers and one DC need to transport services. The mathematical model is to simulate the transport of fresh food within realistic.The transportation routing is designed to improve customer satisfaction and reduce transportation costs.
引用
收藏
页码：1790 / +
页数：2
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