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有行驶里程限制的满载车辆调度问题 被引量:5

Vehicle Routing Problem with Full Load and Driving Distance Restriction
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摘要 应用网络模型,对有行驶里程限制的多车场满载车辆的调度问题进行了探讨.将行驶里程限制约束转化为目标约束,建立了该约束条件下的路径选择模型;设计了基于自然数编码求解该问题的遗传算法,并用实例进行了验证.结果表明,该方法能有效地解决有行驶里程限制的满载车辆调度问题. The graph model was applied to solve the vehicle routing problem with full load (VRPFL) and a driving distance restriction. A route choice model with a driving distance restriction was set up through transforming the driving distance restriction into the objective restriction. The genetic algorithm based on decimal coding was given to solve the VRPFL with a driving distance restriction and verified through an example. The result of the example shows the validity of this method to solve the VRPFL with a driving distance restriction.
出处 《西南交通大学学报》 EI CSCD 北大核心 2005年第6期798-802,共5页 Journal of Southwest Jiaotong University
基金 国家自然科学基金资助项目(79700019 70271022)
关键词 满载车辆调度问题 遗传算法 网络模型 行驶里程 vehicle routing problem with full load genetic algorithm graph model driving distance
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  • 1Ball M O,Golden B L,Assad A A,et al.Planning for truck fleet size in the presence of a common carrier operation[J].Decision Science,1983,14(1):103-120.
  • 2Desrosiers J,Laporte G,Sauve M,et al.Vehicle routing with full loads[J].Computers and Operations Research,1988,15(3):219-226.
  • 3Skitt R A,Levary R R.Vehicle routing via column generation[J].Computers and Operations Research,1985,21(1):65-76.
  • 4郭耀煌 李军.车辆优化调度[M].成都:成都科技大学出版社,1994.22-48.
  • 5Filipec M,Skrlec D.Genetic algorithm approach for multiple depot capacitated vehicle routing problem solving with heuristic improvements[J].International Journal of Modeling and Simulation,2000,20(4):320-328.
  • 6谢秉磊,李军,郭耀煌.有时间窗的非满载车辆调度问题的遗传算法[J].系统工程学报,2000,15(3):290-294. 被引量:87
  • 7李军,谢秉磊,郭耀煌.非满载车辆调度问题的遗传算法[J].系统工程理论方法应用,2000,9(3):235-239. 被引量:110
  • 8李军,谢秉磊,郭耀煌.基于自然数编码的模式理论研究[J].西南交通大学学报,2000,35(1):77-80. 被引量:6

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