• DocumentCode
    3226569
  • Title

    Modulo Based CNF Encoding of Cardinality Constraints and Its Application to MaxSAT Solvers

  • Author

    Ogawa, Tomomi ; Yangyang Liu ; Hasegawa, Ryusuke ; Koshimura, M. ; Fujita, Hideaki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
  • fYear
    2013
  • fDate
    4-6 Nov. 2013
  • Firstpage
    9
  • Lastpage
    17
  • Abstract
    Totalizer (TO) by Bailleux et al. and Half Sorting Network (HS) by Asin et al. are typical CNF encoding methods of cardinality constraint. The former is based on unary adder, while the latter is based on odd-even merge. Although TO is inferior to HS in terms of the number of clauses, TO is superior to HS in terms of the number of variables. We propose a new method called Modulo Totalizer (MTO) to overcome the disadvantage of TO. As an application, we have developed a partial MaxSAT solver with MTO. Preliminary experimental results show that our MTO based MaxSAT solver is comparable to or surpass the conventional TO based maxsat solvers.
  • Keywords
    computability; constraint handling; MTO; cardinality constraints; modulo based CNF encoding method; modulo totalizer; odd-even merge; partial MaxSAT solver; unary adder; Adders; Delays; Educational institutions; Electrical engineering; Encoding; Merging; Sorting; CNF Encoding; Cardinality Constraints; K-Cardinality; MaxSAT; Modulo Calculation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-2971-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2013.13
  • Filename
    6735224