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A generalized crossing local search method for solving vehicle routing problems

Author

Listed:
  • L Zeng

    (National University of Singapore, Kent Ridge)

  • H L Ong

    (National University of Singapore, Kent Ridge)

  • K M Ng

    (National University of Singapore, Kent Ridge)

Abstract

In this paper, we propose a generalized crossing local search method for solving vehicle routing problems. This method is a generalization of the string crossing method described in the literature. To evaluate the performance of the proposed method, extensive computational experiments on the proposed method applied to a set of benchmark problems are carried out. The results show that the proposed method, when coupled with metaheuristics such as simulated annealing, is comparable with other efficient heuristic methods proposed in the literature.

Suggested Citation

  • L Zeng & H L Ong & K M Ng, 2007. "A generalized crossing local search method for solving vehicle routing problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 528-532, April.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:4:d:10.1057_palgrave.jors.2602171
    DOI: 10.1057/palgrave.jors.2602171
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    References listed on IDEAS

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    5. Van Breedam, Alex, 1995. "Improvement heuristics for the Vehicle Routing Problem based on simulated annealing," European Journal of Operational Research, Elsevier, vol. 86(3), pages 480-490, November.
    6. J-F Cordeau & M Gendreau & G Laporte & J-Y Potvin & F Semet, 2002. "A guide to vehicle routing heuristics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 512-522, May.
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