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Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands

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

Abstract

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.

Suggested Citation

  • Chang-shi Liu & Gang Kou & Fu-hua Huang, 2016. "Vehicle Coordinated Strategy for Vehicle Routing Problem with Fuzzy Demands," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, August.
    • Handle: RePEc:hin:jnlmpe:9071394
    DOI: 10.1155/2016/9071394
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