A gradient-based randomised heuristic for the maximum cut problem

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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 nonconvex optimisation problem. Computational studies are reported. They indicate that the proposed method is competitive with the best known procedures present in the literature.

Original languageEnglish
Pages (from-to)276-293
Number of pages18
JournalInternational Journal of Mathematics in Operational Research
Volume4
Issue number3
DOIs
Publication statusPublished - 1 Jan 2012

Keywords

  • Combinatorial optimisation
  • Maximum cut
  • Randomised algorithms

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