Abstract. We present a new approach for solving Weighted Constraint Satisfaction Problems (WCSP). The method is based on encoding the violation cost of soft constraints as a pseudo-Boolean objective function, and successively calling a decision procedure bounding the maximum al-lowable cost. The novelty of our approach consists in building a Binary Decision Diagram (BDD) for the objective function, using state-of-the-art generalized arc-consistent SAT encodings for it. Moreover, with our approach we maximize the reuse of the BDDs for the objective function between successive calls to the decision procedure by creating a shared BDD. The method has been incorporated into the WCSP solving system WSimply, based on reformulation into SMT, with p...
We present an optimization formulation for discrete binary CSP, based on the construction of a conti...
Set bounds propagation is the most popular approach to solving constraint satisfaction problems (CSP...
It was shown that constraint satisfaction problems (CSPs) with a low width can be solved effectively...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
For the last ten years, a significant amount of work in the constraint community has been devoted to...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
International audienceMinimaxWeighted Constraint Satisfaction Problems (formerly called QWCSPs) are ...
Abstract. We introduce a weighted CSP modeling language that al-lows to represent over-constrained p...
Abstract. Weighted Constraint Satisfaction Problems (WCSP) are used to model and to solve some const...
Abstract. Minimax Weighted Constraint Satisfaction Problems (formerly called Quantified Weighted CSP...
AbstractRecently, a general definition of arc consistency (AC) for soft constraint frameworks has be...
We define a translation from Weighted CSP to signed Max-SAT, and a complete resolution-style calculu...
A new local consistency for weighted CSP dedicated to long domains The weighted constraint satisfact...
International audienceWe propose a framework for computing upper bounds on the optimal value of the ...
In classical constraint satisfaction, combining mutually redundant models using channeling constrain...
We present an optimization formulation for discrete binary CSP, based on the construction of a conti...
Set bounds propagation is the most popular approach to solving constraint satisfaction problems (CSP...
It was shown that constraint satisfaction problems (CSPs) with a low width can be solved effectively...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
For the last ten years, a significant amount of work in the constraint community has been devoted to...
We introduce WSimply, a new framework for modelling and solving Weighted Constraint Satisfaction Pro...
International audienceMinimaxWeighted Constraint Satisfaction Problems (formerly called QWCSPs) are ...
Abstract. We introduce a weighted CSP modeling language that al-lows to represent over-constrained p...
Abstract. Weighted Constraint Satisfaction Problems (WCSP) are used to model and to solve some const...
Abstract. Minimax Weighted Constraint Satisfaction Problems (formerly called Quantified Weighted CSP...
AbstractRecently, a general definition of arc consistency (AC) for soft constraint frameworks has be...
We define a translation from Weighted CSP to signed Max-SAT, and a complete resolution-style calculu...
A new local consistency for weighted CSP dedicated to long domains The weighted constraint satisfact...
International audienceWe propose a framework for computing upper bounds on the optimal value of the ...
In classical constraint satisfaction, combining mutually redundant models using channeling constrain...
We present an optimization formulation for discrete binary CSP, based on the construction of a conti...
Set bounds propagation is the most popular approach to solving constraint satisfaction problems (CSP...
It was shown that constraint satisfaction problems (CSPs) with a low width can be solved effectively...