Measuring the hardness of SAT instances

  • Authors:
  • Carlos Ansótegui;María Luisa Bonet;Jordi Levy;Felip Manyà

  • Affiliations:
  • DIEI, UdL, Lleida, Spain;LSI, UPC, Barcelona, Spain;IIIA, CSIC, Bellaterra, Spain;IIIA, CSIC, Bellaterra, Spain

  • Venue:
  • AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
  • Year:
  • 2008

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Abstract

The search of a precise measure of what hardness of SAT instances means for state-of-the-art solvers is a relevant research question. Among others, the space complexity of treelike resolution (also called hardness), the minimal size of strong backdoors and of cycle-cutsets, and the treewidth can be used for this purpose. We propose the use of the tree-like space complexity as a solid candidate to be the best measure for solvers based on DPLL. To support this thesis we provide a comparison with the other mentioned measures. We also conduct an experimental investigation to show how the proposed measure characterizes the hardness of random and industrial instances.