• Title of article

    Solving weighted CSP by maintaining arc consistency Original Research Article

  • Author/Authors

    Javier Larrosa، نويسنده , , Thomas Schiex، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    26
  • From page
    1
  • To page
    26
  • Abstract
    Recently, a general definition of arc consistency (AC) for soft constraint frameworks has been proposed by T. Schiex [Proc. CP-2000, Singapore, 2000, pp. 411–424]. In this paper we specialize this definition to weighted CSP and introduce two O(ed3) enforcing algorithms. Then, we refine the definition and introduce a stronger form of arc consistency (AC∗) along with two O(n2d2+ed3) algorithms. As in the CSP case, an important application of AC is to combine it with search. We empirically demonstrate that a branch and bound algorithm that maintains either AC or AC∗ is a state-of-the-art general solver for weighted CSP. Our experiments cover binary Max-CSP and Max-SAT problems.
  • Keywords
    Constraint satisfaction , Local consistency , Soft constraints , Weighted CSP
  • Journal title
    Artificial Intelligence
  • Serial Year
    2004
  • Journal title
    Artificial Intelligence
  • Record number

    1207370