Abstract. WCSP is a soft constraint framework with a wide range of applications. Most current complete solvers can be described as a depthfirst branch and bound search that maintain some form of local consistency during the search. However, the known consistencies are unable to solve problems with huge domains because of their time and space complexities. In this paper, we adapt a weaker form of arc consistency, well-known in classic CSPs, called the bound arc consistency and we provide several algorithms to enforce it.
Constraint networks are used more and more to solve combinatorial problems in real-life applications...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
Many local consistency properties have been exploited in solving Constraint Satisfaction Problems. T...
A new local consistency for weighted CSP dedicated to long domains The weighted constraint satisfact...
AbstractRecently, a general definition of arc consistency (AC) for soft constraint frameworks has be...
The Weighted Constraint Satisfaction Problem (WCSP) framework allows representing and solving proble...
International audienceWe propose a framework for computing upper bounds on the optimal value of the ...
This paper is in the form of an extended abstract, which means that most of its content (definitions...
AbstractThe Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined ...
An extended abstract of this work appeared in Proceedings of the 35th International Symposium on The...
Constraint satisfaction problems (CSPs) are a type of combinatorial (optimization) problems that inv...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
Optimizing a combination of local cost functions on discrete variables is a central problem in many ...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
Singleton arc consistency is an important type of local consistency which has been recently shown to...
Constraint networks are used more and more to solve combinatorial problems in real-life applications...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
Many local consistency properties have been exploited in solving Constraint Satisfaction Problems. T...
A new local consistency for weighted CSP dedicated to long domains The weighted constraint satisfact...
AbstractRecently, a general definition of arc consistency (AC) for soft constraint frameworks has be...
The Weighted Constraint Satisfaction Problem (WCSP) framework allows representing and solving proble...
International audienceWe propose a framework for computing upper bounds on the optimal value of the ...
This paper is in the form of an extended abstract, which means that most of its content (definitions...
AbstractThe Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined ...
An extended abstract of this work appeared in Proceedings of the 35th International Symposium on The...
Constraint satisfaction problems (CSPs) are a type of combinatorial (optimization) problems that inv...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
Optimizing a combination of local cost functions on discrete variables is a central problem in many ...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
Singleton arc consistency is an important type of local consistency which has been recently shown to...
Constraint networks are used more and more to solve combinatorial problems in real-life applications...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
Many local consistency properties have been exploited in solving Constraint Satisfaction Problems. T...