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AAAI
1996
14 years 11 months ago
Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem
Two methods are described for enhancing performance of branch and bound methods for overconstrained CSPS. These methods improve either the upper or lower bound, respectively, duri...
Richard J. Wallace
98
Voted
EC
2008
146views ECommerce» more  EC 2008»
14 years 9 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga
AMC
2008
106views more  AMC 2008»
14 years 9 months ago
A non-binary constraint ordering heuristic for constraint satisfaction problems
Abstract Nowadays many real problems can be modelled as Constraint Satisfaction Problems (CSPs). A search algorithm for constraint programming requires an order in which variables ...
Miguel A. Salido
ICDCS
2000
IEEE
15 years 2 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
FLAIRS
2007
15 years 12 hour ago
Search Ordering Heuristics for Restarts-Based Constraint Solving
Constraint Satisfaction Problems are ubiquitous in Artificial Intelligence. Over the past decade significant advances have been made in terms of the size of problem instance tha...
Margarita Razgon, Barry O'Sullivan, Gregory M. Pro...