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A Granular Tabu Search algorithm for the Dial-a-Ride Problem

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  • Kirchler, Dominik
  • Wolfler Calvo, Roberto

Abstract

In a Dial-a-Ride system, a fleet of vehicles without fixed routes and schedules carries people from their pick-up point to their delivery point. Pre-specified time windows must be respected, and service levels for passengers as well as operation costs should be optimized. The resulting routing and scheduling problem is NP-hard and can be modeled by a mixed integer linear programming formulation. In this paper, we propose a Granular Tabu Search algorithm for the static Dial-a-Ride Problem with the objective of producing good solutions in a short amount of time (up to 3min). We evaluate the algorithm on test instances from the literature. Our new algorithm performs well in comparison with a classical Tabu Search algorithm, a Genetic Algorithm, and a Variable Neighborhood Search.

Suggested Citation

  • Kirchler, Dominik & Wolfler Calvo, Roberto, 2013. "A Granular Tabu Search algorithm for the Dial-a-Ride Problem," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 120-135.
    • Handle: RePEc:eee:transb:v:56:y:2013:i:c:p:120-135
    DOI: 10.1016/j.trb.2013.07.014
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    References listed on IDEAS

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    Keywords

    Granular Tabu Search; Dial-a-Ride Problem;

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