This article deals with global constraints for which the set of solutions can be recognized by an extended finite automaton whose size is bounded by a polynomial in n, where n is the number of variables of the corresponding global constraint. By reducing the automaton to a conjunction of signature and transition constraints we show how to systematically obtain an automaton reformulation. Under some restrictions on the signature and transition constraints, this reformulation maintains arc-consistency. An implementation based on some constraints as well as on the metaprogramming facilities of SICStus Prolog is available. For a restricted class of automata we provide an automaton reformulation for the relaxed case, where the violation cost is ...
In this work we discuss the consistency of constraints for which the set of solutions can be recogni...
In this paper, we propose a variant of the global constraint soft-regular by introducing a new viola...
Constraint Programming (CP) is a popular paradigm to deal with hard combinatorial problems in Artifi...
Abstract. This article deals with global constraints for which the set of solu-tions can be recogniz...
This report deals with global constraints for which the set of solutions can be recognized by an ext...
Constraint programming often involves global constraints, which have been catalogued in [1] and for ...
Constraint programming (CP) is a technology in which a combinatorial problem is modelled as a conjun...
Global constraint design is a key success of CP for solving hard combinatorial problems. Many works ...
Abstract. Global constraint design is a key success of CP for solving hard com-binatorial problems. ...
Many combinatorial problems can be formulated via constraints, i.e., relations between variables’ va...
In this paper, we explore the idea of representing CSPs using techniques from formal language theory...
Abstract. We study the complexity of constraint satisfaction problems involving global constraints, ...
We explore the idea of using finite automata to implement new constraints for local search (this is ...
Abstract Matrix models are ubiquitous for constraint problems. Many such prob-lems have a matrix of ...
Matrix models are ubiquitous for constraint problems. Many such problems have a matrix of variables ...
In this work we discuss the consistency of constraints for which the set of solutions can be recogni...
In this paper, we propose a variant of the global constraint soft-regular by introducing a new viola...
Constraint Programming (CP) is a popular paradigm to deal with hard combinatorial problems in Artifi...
Abstract. This article deals with global constraints for which the set of solu-tions can be recogniz...
This report deals with global constraints for which the set of solutions can be recognized by an ext...
Constraint programming often involves global constraints, which have been catalogued in [1] and for ...
Constraint programming (CP) is a technology in which a combinatorial problem is modelled as a conjun...
Global constraint design is a key success of CP for solving hard combinatorial problems. Many works ...
Abstract. Global constraint design is a key success of CP for solving hard com-binatorial problems. ...
Many combinatorial problems can be formulated via constraints, i.e., relations between variables’ va...
In this paper, we explore the idea of representing CSPs using techniques from formal language theory...
Abstract. We study the complexity of constraint satisfaction problems involving global constraints, ...
We explore the idea of using finite automata to implement new constraints for local search (this is ...
Abstract Matrix models are ubiquitous for constraint problems. Many such prob-lems have a matrix of ...
Matrix models are ubiquitous for constraint problems. Many such problems have a matrix of variables ...
In this work we discuss the consistency of constraints for which the set of solutions can be recogni...
In this paper, we propose a variant of the global constraint soft-regular by introducing a new viola...
Constraint Programming (CP) is a popular paradigm to deal with hard combinatorial problems in Artifi...