交通与运输工程

求解集送货可拆分车辆路径问题的启发式算法

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  • 1.华南理工大学 工商管理学院, 广东 广州 510640; 2.华南理工大学 土木与交通学院, 广东 广州 510640
杨亚璪(1981-),男,博士生,主要从事运输物流研究.

收稿日期: 2009-07-15

  修回日期: 2009-10-27

  网络出版日期: 2010-03-25

基金资助

国家“863”计划资助项目(2007AAI1Z201);国家自然科学基金资助项目(50878089)

Heuristic Algorithm to Solve Vehicle Routing Problem with Split Pickups and Deliveries

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  • 1. School of Business Administration, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, Guangdong, China
杨亚璪(1981-),男,博士生,主要从事运输物流研究.

Received date: 2009-07-15

  Revised date: 2009-10-27

  Online published: 2010-03-25

Supported by

国家“863”计划资助项目(2007AAI1Z201);国家自然科学基金资助项目(50878089)

摘要

为了节约运输成本、提高物流服务效率,对集送货可拆分的车辆路径问题进行了研究.该问题允许一个任务点被访问多次,也允许同一车辆访问同一任务点多于一次.针对问题的特点设计三阶段启发式算法,拆分部分任务点的集送货需求,并使车辆行驶距离之和最小.数值实验结果表明,新的算法可以得到合理的车辆路径,尤其适用于送货需求总量大于集货需求总量的情形.

本文引用格式

杨亚璪 靳文舟 郝小妮 田晟 . 求解集送货可拆分车辆路径问题的启发式算法[J]. 华南理工大学学报(自然科学版), 2010 , 38(3) : 58 -63 . DOI: 10.3969/j.issn.1000-565X.2010.03.011

Abstract

Heuristic Algorithm to Solve Vehicle Routing Problem with Split Pickups and DeliveriesYang Ya-zao, Jin Wen-zhou, Hao Xiao-ni, Tian Sheng 1. School of Business Administration, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, Guangdong, ChinaAbstract:In order to save the transportation cost and improve the efficiency of logistics services, the vehicle rou- ting problem with split pickups and deliveries is investigated. According to the characteristics of this problem, that is, multiple visits for a certain task point or for the same task point by a certain vehicle are allowed, a three-phase heuristic algorithm, which splits the demands of pickups and deliveries at some task points and minimizes the total driving distance of vehicles, is proposed. Numerical results show that the proposed algorithm helps to obtain reaso- nable vehicle routings, especially with the case of total delivery amount being greater than total pickup amount.

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