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The traveling salesman problem: An update of research

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  • R. G. Parker
  • R. L. Rardin

Abstract

During the course of the last few years, attacks on the traveling salesman problem have resulted in a variety of often innovative and rather powerful computational procedures. In this article, we present a review of these results for problems defined on weighted and unweighted graphs. Some account of computational behavior for exact algorithms is provided; however, the primary coverage deals with the strategy of particular procedures. In addition, we include some aspects of nonexact algorithms with major interest confined to the establishment of worst‐case bounds.

Suggested Citation

  • R. G. Parker & R. L. Rardin, 1983. "The traveling salesman problem: An update of research," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 30(1), pages 69-96, March.
    • Handle: RePEc:wly:navlog:v:30:y:1983:i:1:p:69-96
    DOI: 10.1002/nav.3800300107
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    Cited by:

    1. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency Relief Routing Models for Injured Victims Considering Equity and Priority," Post-Print hal-02879681, HAL.
    2. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
    3. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.

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