Add to ORKGSuper solutions to constraint programs guarantee that if a small number of variables lose their values, repair solutions can be found by modifying only a few assignments [Hebrard et al., 2004b; Ginsberg et al., 1998] . In this paper we present weighted super solutions which extend the basic super solutions framework in two important ways. Firstly, the set of variables..
Weighted Constraint Satisfaction is made practical by powerful consistency techniques, such as AC*, ...
. Real constrained problems often demand specific answers to meet requirements like bounded computat...
Abstract. We consider the Weighted Constraint Satisfaction Problem which is an important problem in ...
Super solutions to constraint programs guarantee that if a limited number of variables lose their v...
Abstract. Super solutions are a mechanism to provide robustness to constraint programs [10]. They ar...
Abstract. Fault tolerant solutions [12] and supermodels [8] are solu-tions with strong properties of...
Research area: Program Analysis and VerificationSystems of weighted constraints are a natural formal...
Set variables are ubiquitous in modeling (soft) con-straint problems, but efforts on practical consi...
This paper studies the resolution of (augmented) weighted matching problems within a constraint prog...
In classical constraint satisfaction, combining mutually redundant models using channeling constrain...
Abstract. Many real-world constraint satisfaction problems (CSPs) can be over-constrained or too lar...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
Over-constrained problems can be solved with the help of soft constraints. Weighted constraints are...
International audienceWhen solving weighted constraint satisfaction problems , methods based on tree...
Weighted Constraint Satisfaction is made practical by powerful consistency techniques, such as AC*, ...
. Real constrained problems often demand specific answers to meet requirements like bounded computat...
Abstract. We consider the Weighted Constraint Satisfaction Problem which is an important problem in ...
Super solutions to constraint programs guarantee that if a limited number of variables lose their v...
Abstract. Super solutions are a mechanism to provide robustness to constraint programs [10]. They ar...
Abstract. Fault tolerant solutions [12] and supermodels [8] are solu-tions with strong properties of...
Research area: Program Analysis and VerificationSystems of weighted constraints are a natural formal...
Set variables are ubiquitous in modeling (soft) con-straint problems, but efforts on practical consi...
This paper studies the resolution of (augmented) weighted matching problems within a constraint prog...
In classical constraint satisfaction, combining mutually redundant models using channeling constrain...
Abstract. Many real-world constraint satisfaction problems (CSPs) can be over-constrained or too lar...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
Over-constrained problems can be solved with the help of soft constraints. Weighted constraints are...
International audienceWhen solving weighted constraint satisfaction problems , methods based on tree...
Weighted Constraint Satisfaction is made practical by powerful consistency techniques, such as AC*, ...
. Real constrained problems often demand specific answers to meet requirements like bounded computat...
Abstract. We consider the Weighted Constraint Satisfaction Problem which is an important problem in ...