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» Propagation in CSP and SAT
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ICTAI
2009
IEEE
14 years 2 months ago
Learning in Local Search
In this paper a learning based local search approach for propositional satisfiability is presented. It is based on an original adaptation of the conflict driven clause learning ...
Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazu...
SAT
2010
Springer
136views Hardware» more  SAT 2010»
13 years 11 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....
SAT
2010
Springer
132views Hardware» more  SAT 2010»
13 years 6 months ago
Exploiting Circuit Representations in QBF Solving
Previous work has shown that circuit representations can be exploited in QBF solvers to obtain useful performance improvements. In this paper we examine some additional techniques ...
Alexandra Goultiaeva, Fahiem Bacchus
AUSAI
2007
Springer
13 years 11 months ago
Branching Rules for Satisfiability Analysed with Factor Analysis
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
Richard J. Wallace, Stuart Bain
CP
2000
Springer
13 years 12 months ago
Maintaining Arc-Consistency within Dynamic Backtracking
Most of complete search algorithms over Constraint Satisfaction Problems (csp) are based on Standard Backtracking. Two main enhancements of this basic scheme have been proposed : r...
Narendra Jussien, Romuald Debruyne, Patrice Boizum...