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A Branch-and-Bound Approach to the Traveling Salesman Problem with a Drone

Author

Listed:
  • Stefan Poikonen

    (Business School, University of Colorado Denver, Denver, Colorado 80202)

  • Bruce Golden

    (R.H. Smith School of Business, University of Maryland, College Park, Maryland 20742; c Kogod School of Business, American University, Washington, District of Columbia 20016)

  • Edward A. Wasil

    (Kogod School of Business, American University, Washington, District of Columbia 20016)

Abstract

The Traveling Salesman Problem with a Drone (TSP-D) is a hybrid truck and drone model of delivery, in which the drone rides on the truck and launches from the truck to deliver packages. Our approach to the TSP-D uses branch and bound, whereby each node of the branch-and-bound tree corresponds with a potential order to deliver a subset of packages. An approximate lower bound at each node is given by solving a dynamic program. We provide additional variants of our heuristic approach and compare solution quality and computation times. Consideration is given to various input parameters and distance metrics.

Suggested Citation

  • Stefan Poikonen & Bruce Golden & Edward A. Wasil, 2019. "A Branch-and-Bound Approach to the Traveling Salesman Problem with a Drone," INFORMS Journal on Computing, INFORMS, vol. 31(2), pages 335-346, April.
    • Handle: RePEc:inm:orijoc:v:31:y:2019:i:2:p:335-346
    DOI: 10.1287/ijoc.2018.0826
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    References listed on IDEAS

    as
    1. Niels Agatz & Paul Bouman & Marie Schmidt, 2018. "Optimization Approaches for the Traveling Salesman Problem with Drone," Transportation Science, INFORMS, vol. 52(4), pages 965-981, August.
    2. Walton Pereira Coutinho & Roberto Quirino do Nascimento & Artur Alves Pessoa & Anand Subramanian, 2016. "A Branch-and-Bound Algorithm for the Close-Enough Traveling Salesman Problem," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 752-765, November.
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