CP
2005
Springer
13 years 6 months ago
2005
Springer
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
ICDCS
2000
IEEE
13 years 9 months ago
2000
IEEE
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
IAT
2008
IEEE
13 years 11 months ago
2008
IEEE
The reason for using distributed constraint satisfaction algorithms is often to allow agents to find a solution while revealing as little as possible about their variables and co...