Dealing with Vehicle Routing Problem Under Multi-Objective Using Improved Genetic Algorithm

摘要：

　　This paper investigates the vehicle routing problem(VRP)under multi-objective constraints.More specifically,we consider the distance,fixed cost,time,together with risk simultaneously.To get a quicker and more accurate solution,several improvements are proposed in applying GA for optimization search.Practical test confirms the effectiveness of the proposed method.

关键词： Vehicle routing problem Risk Genetic algorithm Multi-objective optimization

作者: Hui Liu Yongduan Song

作者单位: School of Automation,Chongqing University,Chonging 400044,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 4100-4105

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）