Optimization Letters

, Volume 11, Issue 6, pp 1069–1089 | Cite as

General Variable Neighborhood Search for computing graph separators

  • Jesús Sánchez-Oro
  • Nenad Mladenović
  • Abraham Duarte
Original Paper

Abstract

Computing graph separators in networks has a wide range of real-world applications. For instance, in telecommunication networks, a separator determines the capacity and brittleness of the network. In the field of graph algorithms, the computation of balanced small-sized separators is very useful, especially for divide-and-conquer algorithms. In bioinformatics and computational biology, separators are required in grid graphs providing a simplified representation of proteins. This papers presents a new heuristic algorithm based on the Variable Neighborhood Search methodology for computing vertex separators. We compare our procedure with the state-of-the-art methods. Computational results show that our procedure obtains the optimum solution in all of the small and medium instances, and high-quality results in large instances.

Keywords

Combinatorial optimization Metaheuristics VNS  Graph separators 

Notes

Acknowledgments

This research has been partially supported by the Spanish Ministry of “Economía y Competitividad”, Grant Ref. TIN2012-35632-C02-02.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jesús Sánchez-Oro
    • 1
  • Nenad Mladenović
    • 2
  • Abraham Duarte
    • 1
  1. 1.Dpto. de Ciencias de la ComputaciónUniversidad Rey Juan CarlosMóstolesSpain
  2. 2.LAMIH, Université de ValenciennesValenciennesFrance

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