What makes a good consistency? Depending on the constraint, it may be a good pruning power or a low computational cost. By weakening arc-consistency, we propose to dene new automatically generated solvers which form a sequence of consistencies weaker than arc-consistency. The method presented in this pa-per exploits a form of regularity in the cloud of con-straint solutions: the density of solution orthogonal to a projection. This approach is illustrated on the sparse constraints to be a n-letters english word and cross-word CSPs, where interesting speed-ups are obtained
International audienceState-of-the-art constraint solvers uniformly maintain the same level of local...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
We propose to exploit cycles in the constraint network of a Constraint Satisfaction Problem (CSP) to...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
The use of constraint propagation is the main feature of any constraint solver. It is thus of prime ...
The use of constraint propagation is the main feature of any constraint solver. It is thus o
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
With the rapid development of constraint programminghas emerged the need for consistency maintenance...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
International audienceCP solvers predominantly use arc consistency (AC) as the default propagation m...
International audienceState-of-the-art constraint solvers uniformly maintain the same level of local...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
International audienceState-of-the-art constraint solvers uniformly maintain the same level of local...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
We propose to exploit cycles in the constraint network of a Constraint Satisfaction Problem (CSP) to...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
The use of constraint propagation is the main feature of any constraint solver. It is thus of prime ...
The use of constraint propagation is the main feature of any constraint solver. It is thus o
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
With the rapid development of constraint programminghas emerged the need for consistency maintenance...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Determining whether or not a Constraint Satisfaction Problem (CSP) has a solution is NP-complete. CS...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
International audienceCP solvers predominantly use arc consistency (AC) as the default propagation m...
International audienceState-of-the-art constraint solvers uniformly maintain the same level of local...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
International audienceState-of-the-art constraint solvers uniformly maintain the same level of local...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
We propose to exploit cycles in the constraint network of a Constraint Satisfaction Problem (CSP) to...