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
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
Journal title :
Artificial Intelligence