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ICDCS
2000
IEEE
14 years 3 months ago
The Effect of Nogood Learning in Distributed Constraint Satisfaction
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...
Makoto Yokoo, Katsutoshi Hirayama
CONSTRAINTS
2006
105views more  CONSTRAINTS 2006»
13 years 11 months ago
Symmetry Breaking Constraints for Value Symmetries in Constraint Satisfaction
Constraint satisfaction problems (CSPs) sometimes contain both variable symmetries and value symmetries, causing adverse effects on CSP solvers based on tree search. As a remedy, s...
Y. Law, J. Lee
IJCAI
1997
14 years 16 days ago
Constraint Satisfaction over Connected Row Convex Constraints
This paper studies constraint satisfaction over connected row-convex (CRC) constraints. It shows that CRC constraints are closed under composition, intersection, and transposition...
Yves Deville, Olivier Barette, Pascal Van Hentenry...
AI
2007
Springer
14 years 5 months ago
Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks
Abstract. Variables and constraints in problem domains are often distributed. These distributed constraint satisfaction problems (DCSPs) lend themselves to multiagent solutions. Mo...
Yang Xiang, Wanling Zhang
ICCD
2007
IEEE
183views Hardware» more  ICCD 2007»
14 years 8 months ago
Constraint satisfaction in incremental placement with application to performance optimization under power constraints
We present new techniques for explicit constraint satisfaction in the incremental placement process. Our algorithm employs a Lagrangian Relaxation (LR) type approach in the analyt...
Huan Ren, Shantanu Dutt