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Cobweb Heuristic for solving Multi-Objective Vehicle Routing Problem

Author

Listed:
  • Okitonyumbe Y.F., Joseph
  • Ulungu, Berthold E.-L.
  • Kapiamba Nt., Joel

Abstract

Solving a classical vehicle routing problem (VRP) by exact methods presents many difficulties for large dimension problem. Consequently, in multi-objective framework, heuristic or metaheuristic methods are required. Due to particular VRP structure, it seems that a dedicated heuristic is more suitable than a metaheuristic. The aim of this article is to collapse different heuristics solving classical VRP and adapt them for to solve the multi-objective vehicle routing problem (MOVRP). The so-called Cobweb Algorithm simulates spider’s behavior when weaving cobweb. This paper presents the algorithm, a didactic example, concluding remarks and way for further researches.

Suggested Citation

  • Okitonyumbe Y.F., Joseph & Ulungu, Berthold E.-L. & Kapiamba Nt., Joel, 2015. "Cobweb Heuristic for solving Multi-Objective Vehicle Routing Problem," MPRA Paper 66121, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:66121
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    File URL: https://mpra.ub.uni-muenchen.de/66121/1/MPRA_paper_66121.pdf
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    References listed on IDEAS

    as
    1. Billy E. Gillett & Leland R. Miller, 1974. "A Heuristic Algorithm for the Vehicle-Dispatch Problem," Operations Research, INFORMS, vol. 22(2), pages 340-349, April.
    2. Éric Taillard & Philippe Badeau & Michel Gendreau & François Guertin & Jean-Yves Potvin, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows," Transportation Science, INFORMS, vol. 31(2), pages 170-186, May.
    3. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    4. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    5. Tan, K.C. & Chew, Y.H. & Lee, L.H., 2006. "A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 172(3), pages 855-885, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Keywords: Savings; Cobweb; Heuristics; Multiobjective; Vehicle Routing Problem.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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    This paper has been announced in the following NEP Reports:

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