Efficiently exploiting dependencies in local search for SAT

  • Authors:
  • Duc Nghia Pham;John Thornton;Abdul Sattar

  • Affiliations:
  • NICTA Ltd., Australia and Institute for Integrated and Intelligent Systems, Griffith University, Australia;NICTA Ltd., Australia and Institute for Integrated and Intelligent Systems, Griffith University, Australia;NICTA Ltd., Australia and Institute for Integrated and Intelligent Systems, Griffith University, Australia

  • Venue:
  • AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose a new local search platform that splits a CNF formula into three sub-components: i) a minimal dependency lattice (representing the core connections between logic gates), ii) a conjunction of equivalence clauses, and iii) the remaining clauses. We also adopt a new hierarchical cost function that focuses on solving the core components of the problem first. We then show experimentally that our platform not only significantly outperforms existing local search approaches but is also competitive with modern systematic solvers on highly structured problems.