A new local consistency for weighted CSP dedicated to long domains The weighted constraint satisfaction problem (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 the 2B-consistency, a weaker form of arc consistency well-known in classic CSPs, into the bound arc consistency and we provide several algorithms to enforce it
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
[EN] Arc-Consistency algorithms are the most commonly used ltering techniques to prune the search s...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
Abstract. WCSP is a soft constraint framework with a wide range of applications. Most current comple...
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 ...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
AbstractThe Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined ...
Set variables are ubiquitous in modeling (soft) con-straint problems, but efforts on practical consi...
AbstractWe extend the framework of Constraint Satisfaction Problems to make it more suitable for/app...
Constraint satisfaction problems (CSPs) are a type of combinatorial (optimization) problems that inv...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
An extended abstract of this work appeared in Proceedings of the 35th International Symposium on The...
Many local consistency properties have been exploited in solving Constraint Satisfaction Problems. T...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
[EN] Arc-Consistency algorithms are the most commonly used ltering techniques to prune the search s...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...
Abstract. WCSP is a soft constraint framework with a wide range of applications. Most current comple...
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 ...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
AbstractThe Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined ...
Set variables are ubiquitous in modeling (soft) con-straint problems, but efforts on practical consi...
AbstractWe extend the framework of Constraint Satisfaction Problems to make it more suitable for/app...
Constraint satisfaction problems (CSPs) are a type of combinatorial (optimization) problems that inv...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
An extended abstract of this work appeared in Proceedings of the 35th International Symposium on The...
Many local consistency properties have been exploited in solving Constraint Satisfaction Problems. T...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
[EN] Arc-Consistency algorithms are the most commonly used ltering techniques to prune the search s...
Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Prob...