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AAAI
1996
13 years 6 months ago
Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem
Two methods are described for enhancing performance of branch and bound methods for overconstrained CSPS. These methods improve either the upper or lower bound, respectively, duri...
Richard J. Wallace
ICML
2007
IEEE
14 years 6 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner
AI
2008
Springer
13 years 5 months ago
Generalised arc consistency for the AllDifferent constraint: An empirical survey
The AllDifferent constraint is a crucial component of any constraint toolkit, language or solver, since it is very widely used in a variety of constraint models. The literature con...
Ian P. Gent, Ian Miguel, Peter Nightingale
IJCAI
2007
13 years 6 months ago
Optimal Soft Arc Consistency
The Valued (VCSP) framework is a generic optimization framework with a wide range of applications. Soft arc consistency operations transform a VCSP into an equivalent problem by s...
Martin C. Cooper, Simon de Givry, Thomas Schiex
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 2 months ago
Improving the Performance of maxRPC
Max Restricted Path Consistency (maxRPC) is a local consistency for binary constraints that can achieve considerably stronger pruning than arc consistency. However, existing maxRPC...
Thanasis Balafoutis, Anastasia Paparrizou, Kostas ...