The capacitated max-k-cut problem

  • Authors:
  • Daya Ram Gaur;Ramesh Krishnamurti

  • Affiliations:
  • Department of Math & Computer Sc, University of Lethbridge, Lethbridge, AB;School of Computing Science, Simon Fraser University, Burnaby, BC

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
  • Year:
  • 2005

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Abstract

In this paper we study a capacitated version of the classical max-k-cut problem. Given a graph we are to partition the vertices into k equal-sized sets such that the number of edges across the sets is maximized. We present a deterministic approximation algorithm for this problem with performance ratio (k – 1) / k. Our algorithm is based on local search, a technique that has been applied to a variety of combinatorial optimization problems.