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» A Glimpse of Constraint Satisfaction
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AI
2005
Springer
15 years 6 months ago
The distributed breakout algorithms
We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constr...
Katsutoshi Hirayama, Makoto Yokoo
CP
2004
Springer
16 years 5 days ago
Leveraging the Learning Power of Examples in Automated Constraint Acquisition
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
Christian Bessière, Remi Coletta, Eugene C....
166
Voted
IAT
2003
IEEE
16 years 1 days ago
Problem-solving in open environments
With the increasing use of the internet, many problemsolving tasks such as resource allocation, scheduling, planning, and configuration pose themselves in an open setting involvi...
Santiago Macho-Gonzalez, Boi Faltings
CP
2003
Springer
16 years 1 hour ago
Distributed Forward Checking
A reason to distribute constraint satisfaction is privacy: agents may not want to share their values, and they may wish to keep constraints as private as possible. In this paper, w...
Ismel Brito, Pedro Meseguer
213
Voted
CP
2011
Springer
14 years 6 months ago
Pruning Rules for Constrained Optimisation for Conditional Preferences
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Problem (CSP) with respect to a set of conditional preferences statements (e.g.,...
Nic Wilson, Walid Trabelsi