مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

VEHICLE ROUTING PROBLEM: META-HEURISTIC APPROACHES

Pages

  55-68

Abstract

 The purpose of this article is to review the literature on the topic of deterministic vehicle routing problem (VRP) and to give a review on the exact and approximate solution techniques. More specifically the approximate (meta-heuristic) solution techniques are classified into: tabu search, simulated annealing, genetic algorithm, evolutionary algorithm, hybrid algorithm, and Ant Colony Optimization. Each of these solution techniques is briefly discussed and a case study from the literature is presented.

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    APA: Copy

    ZARE MEHRJERDI, Y.. (2012). VEHICLE ROUTING PROBLEM: META-HEURISTIC APPROACHES. INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH, 2(3), 55-68. SID. https://sid.ir/paper/599862/en

    Vancouver: Copy

    ZARE MEHRJERDI Y.. VEHICLE ROUTING PROBLEM: META-HEURISTIC APPROACHES. INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH[Internet]. 2012;2(3):55-68. Available from: https://sid.ir/paper/599862/en

    IEEE: Copy

    Y. ZARE MEHRJERDI, “VEHICLE ROUTING PROBLEM: META-HEURISTIC APPROACHES,” INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH, vol. 2, no. 3, pp. 55–68, 2012, [Online]. Available: https://sid.ir/paper/599862/en

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