International audienceMethods exploiting hypertree decompositions are considered as the best approach for solving extensional constraint satisfaction problems (CSPs) on finite domains, with regard to theoretical time complexity when fixed widths are considered. However, this result has not been confirmed in practice because of the memory explosion problem. In this article, a new approach for efficient solving extensional non-binary CSPs is proposed. It is a combination of an enumerative search algorithm which is memory efficient and a Generalised Hypertree Decomposition (GHD) that is time efficient. This new approach is a cluster-oriented Forward-Checking algorithm. It considers the solutions of the subproblems deriving from the decompositi...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
Many problems that occur in Artificial Intelligence and Operations Research can be naturally represe...
International audienceMany approaches exploiting Generalized Hypertree Decomposition are proposed in...
The problem of computing solutions to constraint satisfaction problems (CSPs) has gained widespread ...
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition me...
AbstractSolving non-binary constraint satisfaction problems, a crucial challenge today, can be tackl...
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition me...
Constraint Satisfaction Problems (CSPs) involve assigning values to a finite set of variables from...
Abstract. Solving non-binary constraint satisfaction problems, a cru-cial challenge for the next yea...
AbstractWe compare tractable classes of constraint satisfaction problems (CSPs). We first give a uni...
. Real constrained problems often demand specific answers to meet requirements like bounded computat...
We propose two new algorithms for solving Distributed Constraint Satisfaction Problems (DisCSPs). Th...
Abstract. Generalized hypertree width (short: ghw) is a concept that leads to a large class of effic...
This paper deals with methods exploiting tree-decomposition approaches for solving constraint networ...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
Many problems that occur in Artificial Intelligence and Operations Research can be naturally represe...
International audienceMany approaches exploiting Generalized Hypertree Decomposition are proposed in...
The problem of computing solutions to constraint satisfaction problems (CSPs) has gained widespread ...
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition me...
AbstractSolving non-binary constraint satisfaction problems, a crucial challenge today, can be tackl...
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition me...
Constraint Satisfaction Problems (CSPs) involve assigning values to a finite set of variables from...
Abstract. Solving non-binary constraint satisfaction problems, a cru-cial challenge for the next yea...
AbstractWe compare tractable classes of constraint satisfaction problems (CSPs). We first give a uni...
. Real constrained problems often demand specific answers to meet requirements like bounded computat...
We propose two new algorithms for solving Distributed Constraint Satisfaction Problems (DisCSPs). Th...
Abstract. Generalized hypertree width (short: ghw) is a concept that leads to a large class of effic...
This paper deals with methods exploiting tree-decomposition approaches for solving constraint networ...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
International audienceThe question of tractable classes of constraint satisfaction problems (CSPs) h...
Many problems that occur in Artificial Intelligence and Operations Research can be naturally represe...