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» Solving Over-Constrained Problems with SAT
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AI
2003
Springer
14 years 2 months ago
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
Abstract. In this paper, we study the behaviour of the Scaling and Probabilistic Smoothing (SAPS) dynamic local search algorithm on the unweighted MAXSAT problem. MAX-SAT is a conc...
Dave A. D. Tompkins, Holger H. Hoos
AAAI
2004
13 years 10 months ago
Study of Lower Bound Functions for MAX-2-SAT
Recently, several lower bound functions are proposed for solving the MAX-2-SAT problem optimally in a branch-and-bound algorithm. These lower bounds improve significantly the perf...
Haiou Shen, Hantao Zhang
JSAT
2006
134views more  JSAT 2006»
13 years 9 months ago
Pueblo: A Hybrid Pseudo-Boolean SAT Solver
This paper introduces a new hybrid method for efficiently integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisfiability and optimization...
Hossein M. Sheini, Karem A. Sakallah
FUN
2007
Springer
80views Algorithms» more  FUN 2007»
14 years 1 months ago
The Traveling Beams Optical Solutions for Bounded NP-Complete Problems
Architectures for optical processors designed to solve bounded instances of NP-Complete problems are suggested. One approach mimics the traveling salesman by traveling beams that ...
Shlomi Dolev, Hen Fitoussi
CATS
2008
13 years 10 months ago
Modelling for Lazy Clause Generation
Lazy clause generation is a hybrid SAT and finite domain propagation solver that tries to combine the advantages of both: succinct modelling using finite domains and powerful nogo...
Olga Ohrimenko, Peter J. Stuckey