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CSCLP
2007
Springer
14 years 1 months ago
Generalizing Global Constraints Based on Network Flows
Global constraints are used in constraint programming to help users specify patterns that occur frequently in the real world. In addition, global constraints facilitate the use of ...
Igor Razgon, Barry O'Sullivan, Gregory M. Provan
IJCAI
1993
13 years 8 months ago
Diagnosing and Solving Over-Determined Constraint Satisfaction Problems
Constraint relaxation is a frequently used technique for managing over-determined constraint satisfaction problems. A problem in constraint relaxation is the selection of the appr...
R. R. Bakker, F. Dikker, F. Tempelman, P. M. Wognu...
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 7 months ago
A Translational Approach to Constraint Answer Set Solving
We present a new approach to enhancing Answer Set Programming (ASP) with Constraint Processing techniques which allows for solving interesting Constraint Satisfaction Problems in ...
Christian Drescher, Toby Walsh
ATAL
2008
Springer
13 years 9 months ago
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
ICDCS
2000
IEEE
13 years 11 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