Improving linear programming approaches for the steiner tree problem

  • Authors:
  • Ernst Althaus;Tobias Polzin;Siavash Vahdati Daneshmand

  • Affiliations:
  • Max-Planck-Institut für Informatik, Saarbrücken, Germany;Max-Planck-Institut für Informatik, Saarbrücken, Germany;Theoretische Informatik, Universität Mannheim, Mannheim, Germany

  • Venue:
  • WEA'03 Proceedings of the 2nd international conference on Experimental and efficient algorithms
  • Year:
  • 2003

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Abstract

We present two theoretically interesting and empirically successful techniques for improving the linear programming approaches, namely graph transformation and local cuts, in the context of the Steiner problem. We show the impact of these techniques on the solution of the largest benchmark instances ever solved.