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求解车辆路径问题的一种遗传算法
A Genetic Algorithm for the Vehicle Routing Problems
【摘要】 车辆路径问题(VRP)是一个典型的NP-hard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,对现有的交叉算子进行了改进,并设计了基于自然数编码的遗传算法,用来求解一般的和有时间窗限制的车辆路径问题。采用文献中的实例进行了数值试验,试验结果表明该算法是有效的。
【Abstract】 The vehicle routing problem is a classical NP-hard problem,and it is usually difficult for traditional methods to obtain satisfying solutions.In this paper,on the basis of analysis of the existing genetic algorithms,an improved crossover operator is presented,and a genetic algorithm for solving vehicle routing problems with and without time windows is proposed which is based on a natural number coding scheme.The performance of the proposed algorithm is evaluated in numerical simulations.The results shows the efficiency of the proposed algorithm.
【关键词】 车辆路径问题;
遗传算法;
时间窗;
部分匹配交叉;
【Key words】 vehicle routing problem; genetic algorithm; time window; partially matched crossover;
【Key words】 vehicle routing problem; genetic algorithm; time window; partially matched crossover;
【基金】 国家自然科学基金资助项目(70301005);教育部南开-天津大学刘徽应用数学中心资助项目
- 【文献出处】 系统工程理论方法应用 ,Journal of Systems & Management , 编辑部邮箱 ,2006年06期
- 【分类号】U495
- 【被引频次】21
- 【下载频次】525