• DocumentCode
    1903327
  • Title

    Symmetry Propagation: Improved Dynamic Symmetry Breaking in SAT

  • Author

    Devriendt, J. ; Bogaerts, B. ; De Cat, B. ; Denecker, M. ; Mears, C.

  • Author_Institution
    Dept. of Comput. Sci., KU Leuven, Leuven, Belgium
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    For constraint programming, many well performing dynamic symmetry breaking techniques have been devised. For propositional satisfiability solving, dynamic symmetry breaking is still either slower or less general than static symmetry breaking. This paper presents Symmetry Propagation, which is an improvement to Lightweight Dynamic Symmetry Breaking, a dynamic symmetry breaking approach from CP. Symmetry Propagation uses any given symmetry as a propagator, and as a result is a general symmetry breaking technique. Experiments with an implementation in the SAT solver Minisat show that on many benchmarks, Symmetry Propagation outperforms the state-of-the-art static symmetry breaking method Shatter.
  • Keywords
    computability; constraint handling; Minisat; SAT solver; constraint programming; lightweight dynamic symmetry breaking; propositional satisfiability solving; static symmetry breaking; symmetry popagation; Benchmark testing; Dynamic programming; Generators; Optimization; Orbits; Radiation detectors; Search problems; CP; Dynamic Symmetry Breaking; SAT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.16
  • Filename
    6495028