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SAT
2007
Springer
107views Hardware» more  SAT 2007»
14 years 1 months ago
Combining Adaptive Noise and Look-Ahead in Local Search for SAT
Abstract. The adaptive noise mechanism was introduced in Novelty+ to automatically adapt noise settings during the search [4]. The local search algorithm G2 WSAT deterministically ...
Chu Min Li, Wanxia Wei, Harry Zhang
ICTAI
2003
IEEE
14 years 27 days ago
MFSAT: A SAT Solver Using Multi-Flip Local Search
Local search-based methods of SAT solving have received a significant attention in the last decade. All local search-based methods choose the next truth assignment by flipping t...
Amol Dattatraya Mali, Yevgeny Lipen
AI
1999
Springer
13 years 7 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
JSAT
2010
132views more  JSAT 2010»
13 years 2 months ago
The Impact of Max-SAT Resolution-Based Preprocessors on Local Search Solvers
In this paper we analyze three well-known preprocessors for Max-SAT. The first preprocessor is based on the so-called variable saturation. The second preprocessor is based on the ...
Federico Heras, David Bañeres
AAAI
1997
13 years 9 months ago
Variable-Selection Heuristics in Local Search for SAT
One of the important components of a local search strategy for satisfiability testing is the variable selection heuristic, which determines the next variable to be flipped. In a...
Alex S. Fukunaga