Title
Correlation-Based Decimation In Constraint Satisfaction Problems
Abstract
We study hard constraint satisfaction problems using some decimation algorithms based on mean-field approximations. The message-passing approach is used to estimate, beside the usual one-variable marginals, the pair correlation functions. The identification of strongly correlated pairs allows to use a new decimation procedure, where the relative orientation of a pair of variables is fixed. We apply this novel decimation to locked occupation problems, a class of hard constraint satisfaction problems where the usual belief-propagation guided decimation performs poorly. The pair-decimation approach provides a significant improvement.
Year
DOI
Venue
2009
10.1088/1742-6596/233/1/012003
INTERNATIONAL WORKSHOP ON STATISTICAL-MECHANICAL INFORMATICS 2010 (IW-SMI 2010)
Keywords
Field
DocType
satisfiability,constraint satisfaction problem,correlation function
Mathematical optimization,Decimation,Quantum mechanics,Algorithm,Constraint satisfaction problem,Correlation,Mathematics,Hybrid algorithm (constraint satisfaction)
Journal
Volume
ISSN
Citations 
233
1742-6588
1
PageRank 
References 
Authors
0.40
5
2
Name
Order
Citations
PageRank
Saburo Higuchi111.07
Marc Mézard259039.09