As an extension of constraint networks, valued constraint networks (or valued CSPs) define
a unifying framework for modelling optimisation problems over finite domains in which the …

While processor frequency has stagnated over the past two decades, the number of
available cores in servers or clusters is still growing, offering the opportunity for significant …

Abstract Cost Function Networks (CFNs) offer a simple and general framework for modeling
and solving constrained optimization problems which allows to deal with over-constrained …

Proteins are chains of simple molecules called amino acids. The sequence of amino acids in
the chain defines the three-dimensional shape of the protein and ultimately its biochemical …

Cost Function Networks (CFNs), also known as Weighted Constraint Satisfaction Problems
(Meseguer, Rossi, and Schiex 2006) is a mathematical model which has been derived from …

Les modèles graphiques discrets représentent des fonctions jointes sur de grands
ensembles de variables en tant qu'une combinaison de fonctions plus petites. Il existe …

This paper proposes small tree-width graph decomposition computational protein design
CFN instances defined according to the model [1] with protocol defined by Simononcini et al …

Résumé Les solveurs exacts pour le problème d'optimisation dans les modèles graphiques,
comme par exemple les réseaux de fonctions de coût ou les champs aléatoires de Markov …