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Finding Regions for Local Repair in Partial Constraint Satisfaction

 
 
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Harald Meyer auf'm Hofe: Finding Regions for Local Repair in Partial Constraint Satisfaction

in: KI-98: Advances in Artificial Intelligence, 22nd Annual German Conference on Artificial Intelligence. Springer Verlag, 1998, pages 57-68.

Abstract: Yet, two classes of algorithms have been used in partial constraint satisfaction: local search methods and Branch-and-Bound search extended by the classical constraint-processing techniques like e.g. forward checking and backmarking. Both classes exhibit characteristic advantages and drawbacks. This article presents a novel approach for solving partial constraint satisfaction problems exhaustively that combines advantages of local search and extended Branch-and-Bound algorithms. This method relies on repair based search and a generic method for an exhaustive enumeration of repair steps.

 

 
 

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