Abstract. This paper proposes to use local search inside filtering algo-rithms of combinatorial structures for which achieving a desired level of consistency is too computationally expensive. Local search quickly pro-vides supports for many variable-value pairs, thus reducing the effort re-quired to check and potentially filter the rest of them. The idea is demon-strated on the SomeDifferent constraint, a graph coloring substructure. An experimental evaluation confirms its significant computational gain in many cases.
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Soft constraint minimization problems (SCMPs) contain hard constraints that cannot be violated and s...
International audienceLocal Search is one of the fundamental approaches to combinatorial optimizatio...
. The goal of this paper is twofold. First, we introduce a class of local search procedures for solv...
AbstractThe IMPASSE class of local search algorithms have given good results on many vertex colourin...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
. We propose in this paper a novel way of looking at local search algorithms for combinatorial optim...
Local Search is one of the fundamental approaches to combinatorial optimization and it is used throu...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
The discrete optimization technique called local search yields impressive results on many important ...
The discrete optimization technique called local search yields impressive results on many important ...
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Soft constraint minimization problems (SCMPs) contain hard constraints that cannot be violated and s...
International audienceLocal Search is one of the fundamental approaches to combinatorial optimizatio...
. The goal of this paper is twofold. First, we introduce a class of local search procedures for solv...
AbstractThe IMPASSE class of local search algorithms have given good results on many vertex colourin...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
. We propose in this paper a novel way of looking at local search algorithms for combinatorial optim...
Local Search is one of the fundamental approaches to combinatorial optimization and it is used throu...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
The discrete optimization technique called local search yields impressive results on many important ...
The discrete optimization technique called local search yields impressive results on many important ...
Abstract. Many combinatorial (optimisation) problems have natural models based on, or including, set...
Soft constraint minimization problems (SCMPs) contain hard constraints that cannot be violated and s...
International audienceLocal Search is one of the fundamental approaches to combinatorial optimizatio...