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求解非满载车辆调度问题的改进遗传算法
引用本文:王占锋,ZHANG Cui-jun,许冀伟,DU Hai-lian.求解非满载车辆调度问题的改进遗传算法[J].计算机工程与设计,2008,29(15).
作者姓名:王占锋  ZHANG Cui-jun  许冀伟  DU Hai-lian
作者单位:石家庄经济学院,信息工程学院,河北,石家庄,050031
基金项目:河北省教育厅科研项目,河北省科技计划,石家庄经济学院校内科研计划基金
摘    要:车辆路径问题(VRP)是一个典型的NP问题,采用传统方法求解往往找不到满意解.在分析现有求解该问题的遗传算法的基础上,对现有的变异算子进行了改进,并设计了基于自然数编码的遗传算法,用来求解非满载的车辆路径问题.计算结果表明,该算法可以更有效地求得车辆路径问题的优化解,是解决车辆路径问题的有效方法.

关 键 词:车辆路径问题  遗传算法  变异算子  非满载  自适应

Improved genetic algorithm for VRP of non-full loads
WANG Zhan-feng,ZHANG Cui-jun,XU Ji-wei,DU Hai-lian.Improved genetic algorithm for VRP of non-full loads[J].Computer Engineering and Design,2008,29(15).
Authors:WANG Zhan-feng  ZHANG Cui-jun  XU Ji-wei  DU Hai-lian
Affiliation:WANG Zhan-feng1,ZHANG Cui-jun1,XU Ji-wei1,DU Hai-lian2(1.College of Information , Engineering,Shijiazhuang University of Economics,Shijiazhuang 050031,China,2.Department of Electronic,Hebei Normal University,China)
Abstract:The vehicle routing problem is a classical NP problem,and it is usually difficult for traditional methods to obtain satisfying solutions.On the basis of analysis of the existing genetic algorithms,an improved mutation operator is presented,and a genetic algorithm for solving vehicle routing problems is proposed which is based on a natural number coding scheme.Experimental results indicate that the algorithm can converge the optimal solution rapidly and is an effective algorithm.
Keywords:vehicle routing problem  genetic algorithm  mutation operator  non-full loads  self-adaption  
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