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A lower bound for the adaptive two-echelon capacitated vehicle routing problem

Author

Listed:
  • Liang Song

    (Harbin Institute of Technology Shenzhen Graduate School
    Shenzhen Key Laboratory of Internet Information Collaboration)

  • Hao Gu

    (Harbin Institute of Technology Shenzhen Graduate School
    Shenzhen Key Laboratory of Internet Information Collaboration)

  • Hejiao Huang

    (Harbin Institute of Technology Shenzhen Graduate School
    Shenzhen Key Laboratory of Internet Information Collaboration)

Abstract

Adaptive two-echelon capacitated vehicle routing problem (A2E-CVRP) proposed in this paper is a variant of the classical 2E-CVRP. Comparing to 2E-CVRP, A2E-CVRP has multiple depots and allows the vehicles to serve customers directly from the depots. Hence, it has more efficient solution and adapt to real-world environment. This paper gives a mathematical formulation for A2E-CVRP and derives a lower bound for it. The lower bound is used for deriving an upper bound subsequently, which is also an approximate solution of A2E-CVRP. Computational results on benchmark instances show that the A2E-CVRP outperforms the classical 2E-CVRP in the costs of routes.

Suggested Citation

  • Liang Song & Hao Gu & Hejiao Huang, 2017. "A lower bound for the adaptive two-echelon capacitated vehicle routing problem," Journal of Combinatorial Optimization, Springer, vol. 33(4), pages 1145-1167, May.
    • Handle: RePEc:spr:jcomop:v:33:y:2017:i:4:d:10.1007_s10878-016-0028-6
    DOI: 10.1007/s10878-016-0028-6
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    References listed on IDEAS

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    Cited by:

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