International audienceIn this paper, we present the soft global constraints -gcc and -regular which are the soft versions with preferences of well-known global constraints Gcc and Regular. For each of them, we introduce a new violation based semantic which takes into account preferences and propose algorithms to enforce hyperarc consistency in polynomial time, making use of flow theory
Soft constraint formalisms are an abstract representation of Constraint Satisfaction Problems (CSPs)...
International audienceGlobal constraints are an essential component in the efficiency of centralized...
We review constraint-based approaches to handle preferences. We start by defining the main notions o...
International audienceIn this paper, we present the soft global constraints -gcc and -regular which ...
Weighted Constraint Satisfaction is made practical by powerful consistency techniques, such as AC*, ...
In Constraint Programming, global constraints have led to major changes in terms of modeling (synthe...
In this paper, we propose a variant of the global constraint soft-regular by introducing a new viola...
The Soft Global Cardinality Constraint (softggc) relaxes the Global Cardinality Constraint (gcc) by ...
In case a CSP is over-constrained, it is natural to allow some constraints, called soft constraints,...
We propose two algorithms achieving generalized arc consistency for the soft global cardinality cons...
Abstract. Global constraints are useful for modelling and reasoning about real-world combinatorial p...
Real-life problems present several kinds of preferences. We focus on problems with both positive and...
Global constraints are an essential component in the efficiency of centralized constraint programmin...
International audienceWCSP is a framework that has attracted a lot of attention during the last deca...
Soft constraints are a generalization of classical constraints, which allow for the description of p...
Soft constraint formalisms are an abstract representation of Constraint Satisfaction Problems (CSPs)...
International audienceGlobal constraints are an essential component in the efficiency of centralized...
We review constraint-based approaches to handle preferences. We start by defining the main notions o...
International audienceIn this paper, we present the soft global constraints -gcc and -regular which ...
Weighted Constraint Satisfaction is made practical by powerful consistency techniques, such as AC*, ...
In Constraint Programming, global constraints have led to major changes in terms of modeling (synthe...
In this paper, we propose a variant of the global constraint soft-regular by introducing a new viola...
The Soft Global Cardinality Constraint (softggc) relaxes the Global Cardinality Constraint (gcc) by ...
In case a CSP is over-constrained, it is natural to allow some constraints, called soft constraints,...
We propose two algorithms achieving generalized arc consistency for the soft global cardinality cons...
Abstract. Global constraints are useful for modelling and reasoning about real-world combinatorial p...
Real-life problems present several kinds of preferences. We focus on problems with both positive and...
Global constraints are an essential component in the efficiency of centralized constraint programmin...
International audienceWCSP is a framework that has attracted a lot of attention during the last deca...
Soft constraints are a generalization of classical constraints, which allow for the description of p...
Soft constraint formalisms are an abstract representation of Constraint Satisfaction Problems (CSPs)...
International audienceGlobal constraints are an essential component in the efficiency of centralized...
We review constraint-based approaches to handle preferences. We start by defining the main notions o...