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A gradient-based randomised heuristic for the maximum cut problem

Author

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  • Walid Ben-Ameur
  • José Neto

Abstract

In this paper we present a randomised heuristic for the maximum cut problem. It consists in finding an approximate solution of a formulation of the maximum cut problem as an unconstrained non-convex optimisation problem. Computational studies are reported. They indicate that the proposed method is competitive with the best known procedures present in the literature.

Suggested Citation

  • Walid Ben-Ameur & José Neto, 2012. "A gradient-based randomised heuristic for the maximum cut problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 4(3), pages 276-293.
    • Handle: RePEc:ids:ijmore:v:4:y:2012:i:3:p:276-293
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