Comparisons between primal and dual approaches have re-cently been extensively studied and evaluated from a theoret-ical standpoint based on the amount of pruning achieved by each of these when applied to non-binary constraint satisfac-tion problems. Enforcing arc consistency on the dual encod-ing has been shown to strictly dominate enforcing GAC on the primal encoding (Stergiou & Walsh 1999). More recently, extensions to dual arc consistency have extended these results to dual encodings that are based on the construction of com-pact constraint coverings, that retain the completeness of the encodings, while using a fraction of the space. In this paper we present a complete theoretical evaluation of these different consistency techniques...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which ...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which i...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
Non binary constraints have recently been studied quite ex-tensively since they represent real life ...
Abstract. A non-binary Constraint Satisfaction Problem (CSP) can be solved by converting the problem...
We perform a detailed theoretical and empirical compari-son of the dual and hidden variable encoding...
International audienceIn this paper, we propose a comprehensive study of second-order consistencies ...
Constraint networks are used more and more to solve combinatorial problems in real-life applications...
In Constraint Programming (CP), Generalized Arc Consistency (GAC) is the central property used for m...
Abstract. In Constraint Programming (CP), Generalized Arc Consistency (GAC) is the central property ...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
AbstractThere are two well known transformations from non-binary constraints to binary constraints a...
There are two well known transformations from non-binary constraints to binary constraints applicabl...
Arc consistency plays a central role in solving Constraint Satisfaction Problems. This is the reaso...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which ...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which i...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...
Non binary constraints have recently been studied quite ex-tensively since they represent real life ...
Abstract. A non-binary Constraint Satisfaction Problem (CSP) can be solved by converting the problem...
We perform a detailed theoretical and empirical compari-son of the dual and hidden variable encoding...
International audienceIn this paper, we propose a comprehensive study of second-order consistencies ...
Constraint networks are used more and more to solve combinatorial problems in real-life applications...
In Constraint Programming (CP), Generalized Arc Consistency (GAC) is the central property used for m...
Abstract. In Constraint Programming (CP), Generalized Arc Consistency (GAC) is the central property ...
Consistency techniques have been studied extensively in the past as a way oftackling constraint sati...
AbstractThere are two well known transformations from non-binary constraints to binary constraints a...
There are two well known transformations from non-binary constraints to binary constraints applicabl...
Arc consistency plays a central role in solving Constraint Satisfaction Problems. This is the reaso...
Consistency techniques have been studied extensively in the past as a way of tackling constraint sat...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which ...
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which i...
The existing complete methods for solving Constraint Satisfaction Problems (CSPs) are usually based ...