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A Rollout Policy for the Vehicle Routing Problem with Stochastic Demands

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  • Nicola Secomandi

    (School of Civil and Environmental Engineering, Cornell University, Hollister Hall, Ithaca, New York 14853-3501)

Abstract

The paper considers the single vehicle routing problem with stochastic demands. While most of the literature has studied the a priori solution approach, this work focuses on computing a reoptimization-type routing policy. This is obtained by sequentially improving a given a priori solution by means of a rollout algorithm. The resulting rollout policy appears to be the first computationally tractable algorithm for approximately solving the problem under the reoptimization approach. After describing the solution strategy and providing properties of the rollout policy, the policy behavior is analyzed by conducting a computational investigation. Depending on the quality of the initial solution, the rollout policy obtains 1% to 4% average improvements on the a priori approach with a reasonable computational effort.

Suggested Citation

  • Nicola Secomandi, 2001. "A Rollout Policy for the Vehicle Routing Problem with Stochastic Demands," Operations Research, INFORMS, vol. 49(5), pages 796-802, October.
    • Handle: RePEc:inm:oropre:v:49:y:2001:i:5:p:796-802
    DOI: 10.1287/opre.49.5.796.10608
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    References listed on IDEAS

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