• DocumentCode
    2546766
  • Title

    Encoding global constraints in semiring-based constraint solving

  • Author

    Georget, Yan ; Codognet, Philippe

  • Author_Institution
    Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
  • fYear
    1998
  • fDate
    10-12 Nov 1998
  • Firstpage
    400
  • Lastpage
    407
  • Abstract
    In recent work, a general framework for constraint satisfaction over finite domains has been proposed, based on the concept of semiring-valued constraints. Classical CSPs, fuzzy CSPs, and hierachical CSPs can be easily cast in this general framework. In this paper, we claim that translating any constraint problem into a semiring-based constraint problem makes it possible to express global information about the problem more easily, especially in the case of non-crisp or preference constraints. Applying this concept to the case of set-based semirings, we give a theoretical result and two practical applications developed using clp(FD, S), a full and efficient implementation of semiring-based constraint satisfaction in the CLP paradigm
  • Keywords
    constraint handling; constraint theory; classical constraint satisfaction problems; constraint satisfaction; finite domains; fuzzy constraint satisfaction problems; global constraint encoding; global information; hierachical constraint satisfaction problems; noncrisp constraints; preference constraints; semiring-based constraint solving; semiring-valued constraints; set-based semirings; Artificial intelligence; Constraint theory; Encoding; Fuzzy logic; Intelligent control; Logic programming; Power system planning; Problem-solving; Scheduling algorithm; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1082-3409
  • Print_ISBN
    0-7803-5214-9
  • Type

    conf

  • DOI
    10.1109/TAI.1998.744878
  • Filename
    744878