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Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands

机译：具有模糊需求的车辆路径问题的车辆协调策略

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摘要

The vehicle routing problem with fuzzy demands (VRPFD) is considered. A fuzzy reasoning constrained program model is formulated for VRPFD, and a hybrid ant colony algorithm is proposed to minimize total travel distance. Specifically, the two-vehicle-paired loop coordinated strategy is presented to reduce the additional distance, unloading times, and waste capacity caused by the service failure due to the uncertain demands. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed approaches.
机译：考虑具有模糊需求的车辆路径问题（VRPFD）。建立了针对VRPFD的模糊推理约束程序模型，提出了一种混合蚁群算法，以使总行驶距离最小。具体来说，提出了两车双环协调策略，以减少由于不确定需求导致的服务故障所导致的额外距离，卸载时间和浪费能力。最后，通过数值例子说明了所提方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第9期|9071394.1-9071394.10|共10页
  • 作者

    Liu Chang-shi; Kou Gang; Huang Fu-hua;

  • 作者单位

    Hunan Univ Commerce, Sch Management, Changsha 410205, Hunan, Peoples R China|Hunan Univ Commerce, Mobile E Business Collaborat Innovat Ctr Hunan Pr, Changsha 410205, Hunan, Peoples R China|Hunan Univ Commerce, Key Lab Hunan Prov Mobile Business Intelligence, Changsha 410205, Hunan, Peoples R China|Hunan Univ Commerce, Inst Big Data & Internet Innovat, Changsha 410205, Hunan, Peoples R China;

    Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu 611130, Peoples R China;

    Hunan Univ Commerce, Sch Management, Changsha 410205, Hunan, Peoples R China;

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