华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (2): 82-86,91.

• 交通运输工程 • 上一篇    下一篇

适于物流配送车辆导航路径优化的遗传算法

温惠英徐建闽林正春2   

  1. 1. 华南理工大学 土木与交通学院, 广东 广州 510640; 2. 华南理工大学 计算机科学与工程学院, 广东 广州 510006
  • 收稿日期:2008-04-29 修回日期:2009-01-04 出版日期:2009-02-25 发布日期:2009-02-25
  • 通信作者: 温惠英(1965-),女,副教授,博士,主要从事智能交通与现代物流技术、交通运输规划与管理的研究. E-mail:wenhuiying@21cn.com
  • 作者简介:温惠英(1965-),女,副教授,博士,主要从事智能交通与现代物流技术、交通运输规划与管理的研究.
  • 基金资助:

    国家自然科学基金资助项目(50578064)

Genetic Algorithm for Route Optimization of Vehicle Navigation in Logistics Distribution

Wen Hui-ying1  Xu Jian-min1  Lin Zheng-chun2   

  1. 1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China
  • Received:2008-04-29 Revised:2009-01-04 Online:2009-02-25 Published:2009-02-25
  • Contact: 温惠英(1965-),女,副教授,博士,主要从事智能交通与现代物流技术、交通运输规划与管理的研究. E-mail:wenhuiying@21cn.com
  • About author:温惠英(1965-),女,副教授,博士,主要从事智能交通与现代物流技术、交通运输规划与管理的研究.
  • Supported by:

    国家自然科学基金资助项目(50578064)

摘要: 提出了适于物流配送车辆导航路径优化的遗传算法,分别对遗传算法的初始种群产生方法、交叉方法、变异方法进行了改进,实现了算法中参数的自适应调整.实验结果表明,改进后的算法能避免断路、回路的产生,提高算法的搜索效率和适应性.文中提出的算法能快速有效地求解物流配送车辆导航路径规划中的点到点型路径优化,满足实时性要求.

关键词: 遗传算法, 物流配送, 车辆导航, 路径规划, 自适应调整

Abstract:

In this paper, a genetic algorithm for the route optimization of vehicle navigation in logistics distribution is presented. Then, the generation methods of the initial population, the crossover method and the mutation method are all respectively improved, and the algorithm parameters are self-adaptively adjusted. Experimental results indi- cate that the improved algorithm helps to avoid both broken routes and loop routes and to improve the searching effi- ciency and the algorithm adaptability. It is also found that, with its high speed and efficiency, the algorithm is sui- table for the real-time point-to-point route optimization of vehicle navigation in logistics distribution.

Key words: genetic algorithm, logistics distribution, vehicle navigation, route planning, self-adaptive adjustment