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基于车辆路径问题的蚁群遗传融合优化算法
引用本文:张翠军,张敬敏,王占锋.基于车辆路径问题的蚁群遗传融合优化算法[J].计算机工程与应用,2008,44(4):233-235.
作者姓名:张翠军  张敬敏  王占锋
作者单位:石家庄经济学院 计算机科学系,石家庄 050031
基金项目:国家高技术研究发展计划(863计划) , 河北省教育厅科研项目 , 河北省科学技术研究与发展计划
摘    要:在对车辆路径问题(VRP)分析的基础上,为之建立了数学模型,提出了一种适合求解该问题的蚁群遗传融合优化算法。该算法首先采用蚁群算法产生阶段最优解,然后利用遗传算法的变异算子对阶段最优解进一步优化。仿真结果表明,该算法能高效解决VRP,并且优化效果较好。

关 键 词:车辆路径问题  蚁群算法  遗传算法  融合优化算法  
文章编号:1002-8331(2008)04-0233-03
收稿时间:2007-06-04
修稿时间:2007-08-02

Combinated optimization algorithm of ant colony and genetic based on Vehicle Routing Problem
ZHANG Cui-jun,ZHANG Jing-min,WANG Zhan-feng.Combinated optimization algorithm of ant colony and genetic based on Vehicle Routing Problem[J].Computer Engineering and Applications,2008,44(4):233-235.
Authors:ZHANG Cui-jun  ZHANG Jing-min  WANG Zhan-feng
Affiliation:Deptartment of Computer Science,Shijiazhuang University of Economics,Shijiazhuang 050031,China
Abstract:Based on the analysis about VRP,a mathematical model is built and a combinated optimization algorithm of ant colony and genetic suitable for solving it is designed.First,it adopts ant colony algorithm to produce a stage solution;Second,it makes use of the mutation operator of genetic algorithm to optimize the stage optimal solution further.The simulation results show that the algorithm can solve VRP efficiently and obtain preferable solution.
Keywords:Vehicle Routing Problem  ant colony algorithm  Genetic Algorithm  combinated optimization algorithm
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