Abstract. Most global constraints maintain a support for their filtering algorithm, namely a tuple consistent with both the constraint and current domains. However, this highly valuable information is rarely used outside of the constraint. In this paper we define the TV-Break Packing problem (TVBP) and we propose a generic hybridization scheme that we test on this real-world application. The principle of this Branch and Move approach is to use the support of the main global constraint of the problem as a guide for the branching strategy. The accuracy of this oracle is enhanced by local search improvements of this support tuple at each node of the search tree. 1
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Propagation is at the very core of Constraint Programming (CP) : it can provide significant performa...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
The usual approaches of using local search can hardly be generalized. The advance in efficiency is t...
none4noLocal branching is a general purpose heuristic method which searches lo- cally around the bes...
Typically local search methods for solving constraint satis-faction problems such as GSAT, WalkSAT a...
International audienceWe propose a generic, domain-independent local search method called adaptive s...
Abstract Local branching is a general purpose heuristic method which searches lo-cally around the be...
We propose the integration and extension of the local branching search strategy in Constraint Progr...
International audienceWe propose a generic, domain-independent local search method called adaptive s...
We here propose a generic, domain-independent local search method called adaptive search for solvin...
Abstract. Hybridization of local search and constraint programming techniques for solving Constraint...
Typically local search methods for solving constraint satisfaction problems such as GSAT, WalkSAT, D...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
. We propose in this paper a novel way of looking at local search algorithms for combinatorial optim...
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Propagation is at the very core of Constraint Programming (CP) : it can provide significant performa...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
The usual approaches of using local search can hardly be generalized. The advance in efficiency is t...
none4noLocal branching is a general purpose heuristic method which searches lo- cally around the bes...
Typically local search methods for solving constraint satis-faction problems such as GSAT, WalkSAT a...
International audienceWe propose a generic, domain-independent local search method called adaptive s...
Abstract Local branching is a general purpose heuristic method which searches lo-cally around the be...
We propose the integration and extension of the local branching search strategy in Constraint Progr...
International audienceWe propose a generic, domain-independent local search method called adaptive s...
We here propose a generic, domain-independent local search method called adaptive search for solvin...
Abstract. Hybridization of local search and constraint programming techniques for solving Constraint...
Typically local search methods for solving constraint satisfaction problems such as GSAT, WalkSAT, D...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
. We propose in this paper a novel way of looking at local search algorithms for combinatorial optim...
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Propagation is at the very core of Constraint Programming (CP) : it can provide significant performa...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...