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A Tabu Search Heuristic for the Vehicle Routing Problem with Stochastic Demands and Customers

Author

Listed:
  • Michel Gendreau

    (Université de Montréal, Montréal, Canada)

  • Gilbert Laporte

    (Université de Montréal, Montréal, Canada)

  • René Séguin

    (Université de Montréal, Montréal, Canada)

Abstract

This paper considers a version of the stochastic vehicle routing problem where customers are present at locations with some probabilities and have random demands. A tabu search heuristic is developed for this problem. Comparisons with known optimal solutions on problems whose sizes vary from 6 to 46 customers indicate that the heuristic produces an optimal solution in 89.45% of cases, with an average deviation of 0.38% from optimality.

Suggested Citation

  • Michel Gendreau & Gilbert Laporte & René Séguin, 1996. "A Tabu Search Heuristic for the Vehicle Routing Problem with Stochastic Demands and Customers," Operations Research, INFORMS, vol. 44(3), pages 469-477, June.
    • Handle: RePEc:inm:oropre:v:44:y:1996:i:3:p:469-477
    DOI: 10.1287/opre.44.3.469
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