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Comparing descent heuristics and metaheuristics for the vehicle routing problem

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  • VAN BREEDAM, Alex

Abstract

Three improvement heuristics for the vehicle routing problem are considered: a descent heuristic and two metaheuristics Simulated Annealing and Tabu Search. In order to make an in-depth comparison of the performance of these improvement heuristics, their behavior is analysed on a heuristic, time-sensitive level as well as on a parametric level. The design and the results of the experiments are outlined. The external validity of the conclusions is discussed.

Suggested Citation

  • VAN BREEDAM, Alex, "undated". "Comparing descent heuristics and metaheuristics for the vehicle routing problem," Working Papers 2000002, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2000002
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    File URL: https://repository.uantwerpen.be/docman/irua/3c49bb/329abd71.pdf
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    Cited by:

    1. Carter, Arthur E. & Ragsdale, Cliff T., 2002. "Scheduling pre-printed newspaper advertising inserts using genetic algorithms," Omega, Elsevier, vol. 30(6), pages 415-421, December.

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