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» Optimal myopic algorithms for random 3-SAT
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FOCS
2000
IEEE
13 years 9 months ago
Optimal myopic algorithms for random 3-SAT
Dimitris Achlioptas, Gregory B. Sorkin
SAT
2005
Springer
104views Hardware» more  SAT 2005»
13 years 10 months ago
Observed Lower Bounds for Random 3-SAT Phase Transition Density Using Linear Programming
We introduce two incomplete polynomial time algorithms to solve satisfiability problems which both use Linear Programming (LP) techniques. First, the FlipFlop LP attempts to simul...
Marijn Heule, Hans van Maaren
CP
2001
Springer
13 years 9 months ago
Random 3-SAT and BDDs: The Plot Thickens Further
Abstract. This paper contains an experimental study of the impact of the construction strategy of reduced, ordered binary decision diagrams (ROBDDs) on the average-case computation...
Alfonso San Miguel Aguirre, Moshe Y. Vardi
AI
1999
Springer
13 years 4 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 8 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