International audienceA Branch-and-Prune algorithm computes a paving of the solution set of a numerical constraint satisfaction problem to a given precision. An anytime algorithm prematurely stops the computation to a given criterion (for example a maximum running time). This article revises anytime Branch-and-Prune algorithms and introduces two new search strategies and three quality indicators to compare them. The evaluation of their complexity and an experimental analysis enabled to prove the efficiency of those new strategies.Un algorithme Branch-and-Prune calcule un pavage de l'ensemble des solutions d'un problème de satisfaction de contraintes numériques à une précision donnée. Un algorithme anytime stoppe le calcul prématurément, par...
Anytime search is a pragmatic approach for trading solution cost and solving time. It can also be us...
We present a simple greedy algorithm and a novel complete algorithm for finding utilitarian optimal ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
When applied to numerical CSPs, the branch and prune algorithm (BPA) computes a sharp covering of th...
Incremental heuristic searches reuse their previous search efforts to speed up the current search. A...
Many constraint satisfaction problems are combinatorically explosive, i.e. have far too many solutio...
Abstract. This paper presents Newton, a branch and prune algorithm used to find all isolated solutio...
Les recherches arborescentes sont utilisées dans un grand nombre d'applications (MIP, CP, SAT, metah...
We describe how to convert the heuristic search algorithm A * into an anytime algorithm that finds a...
International audienceNous présentons dans cet article de nouvelles stra-tégies de choix de noeud da...
Anytime search is a pragmatic approach for trading solution cost and solving time. It can also be u...
Abstract Optimisation algorithms with good anytime behaviour try to return as high-quality solutions...
Tree search algorithms are used in a large variety of applications (MIP, CP, SAT, metaheuristics wit...
Anytime search is a pragmatic approach for trading solution cost and solving time. It can also be us...
We present a simple greedy algorithm and a novel complete algorithm for finding utilitarian optimal ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
When applied to numerical CSPs, the branch and prune algorithm (BPA) computes a sharp covering of th...
Incremental heuristic searches reuse their previous search efforts to speed up the current search. A...
Many constraint satisfaction problems are combinatorically explosive, i.e. have far too many solutio...
Abstract. This paper presents Newton, a branch and prune algorithm used to find all isolated solutio...
Les recherches arborescentes sont utilisées dans un grand nombre d'applications (MIP, CP, SAT, metah...
We describe how to convert the heuristic search algorithm A * into an anytime algorithm that finds a...
International audienceNous présentons dans cet article de nouvelles stra-tégies de choix de noeud da...
Anytime search is a pragmatic approach for trading solution cost and solving time. It can also be u...
Abstract Optimisation algorithms with good anytime behaviour try to return as high-quality solutions...
Tree search algorithms are used in a large variety of applications (MIP, CP, SAT, metaheuristics wit...
Anytime search is a pragmatic approach for trading solution cost and solving time. It can also be us...
We present a simple greedy algorithm and a novel complete algorithm for finding utilitarian optimal ...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...