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» Randomized Algorithms for 3-SAT
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NIPS
2004
13 years 8 months ago
Comparing Beliefs, Surveys, and Random Walks
Survey propagation is a powerful technique from statistical physics that has been applied to solve the 3-SAT problem both in principle and in practice. We give, using only probabi...
Erik Aurell, Uri Gordon, Scott Kirkpatrick
AAAI
2008
13 years 9 months ago
Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT
The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginal...
Hai Leong Chieu, Wee Sun Lee
AI
2003
Springer
14 years 18 days ago
Iterated Robust Tabu Search for MAX-SAT
MAX-SAT, the optimisation variant of the satisfiability problem in propositional logic, is an important and widely studied combinatorial optimisation problem with applications in ...
Kevin Smyth, Holger H. Hoos, Thomas Stützle
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
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
13 years 11 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro