A compact encoding of pseudo-boolean constraints into SAT

  • Authors:
  • Steffen Hölldobler;Norbert Manthey;Peter Steinke

  • Affiliations:
  • Knowledge Representation and Reasoning Group, Technische Universität Dresden, Dresden, Germany;Knowledge Representation and Reasoning Group, Technische Universität Dresden, Dresden, Germany;Knowledge Representation and Reasoning Group, Technische Universität Dresden, Dresden, Germany

  • Venue:
  • KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
  • Year:
  • 2012

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Abstract

Many different encodings for pseudo-Boolean constraints into the Boolean satisfiability problem have been proposed in the past. In this work we present a novel small sized and simple to implement encoding. The encoding maintains generalized arc consistency by unit propagation and results in a formula in conjunctive normal form that is linear in size with respect to the number of input variables. Experimental data confirms the advantages of the encoding over existing ones for most of the relevant pseudo-Boolean instances.