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When a worse approximation factor gives better performance: a 3-approximation algorithm for the vertex k-center problem

Author

Listed:
  • Jesus Garcia-Diaz

    (Instituto Politécnico Nacional)

  • Jairo Sanchez-Hernandez

    (Instituto Politécnico Nacional)

  • Ricardo Menchaca-Mendez

    (Instituto Politécnico Nacional)

  • Rolando Menchaca-Mendez

    (Instituto Politécnico Nacional)

Abstract

The vertex k-center selection problem is a well known NP-Hard minimization problem that can not be solved in polynomial time within a $$\rho

Suggested Citation

  • Jesus Garcia-Diaz & Jairo Sanchez-Hernandez & Ricardo Menchaca-Mendez & Rolando Menchaca-Mendez, 2017. "When a worse approximation factor gives better performance: a 3-approximation algorithm for the vertex k-center problem," Journal of Heuristics, Springer, vol. 23(5), pages 349-366, October.
    • Handle: RePEc:spr:joheur:v:23:y:2017:i:5:d:10.1007_s10732-017-9345-x
    DOI: 10.1007/s10732-017-9345-x
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    References listed on IDEAS

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    1. Gerhard Reinelt, 1991. "TSPLIB—A Traveling Salesman Problem Library," INFORMS Journal on Computing, INFORMS, vol. 3(4), pages 376-384, November.
    2. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    3. Sourour Elloumi & Martine Labbé & Yves Pochet, 2004. "A New Formulation and Resolution Method for the p-Center Problem," INFORMS Journal on Computing, INFORMS, vol. 16(1), pages 84-94, February.
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