In the recent years, CSP's have come to be seen as the core problem in many applications. We propose here a hybrid algorithm (MC-FC) that combines two different search method...
This paper presents DisAC-9, the first optimal distributed algorithm performing the arc-consistency of a constraint network. Our method is optimal according to the number of messa...
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Many temporal applications like planning and scheduling can be viewed as special cases of the numeric and symbolic temporal constraint satisfaction problem. Thus we have developed ...