On the Effect of Learned Clauses on Stochastic Local Search

Author:

Lorenz Jan-Hendrik,Wörz Florian

Publisher

Springer International Publishing

Reference46 articles.

1. Anbulagan, A., Pham, D.N., Slaney, J.K., Sattar, A.: Old resolution meets modern SLS. In: Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference (AAAI/IAAI 2005), pp. 354–359 (2005)

2. Lecture Notes in Computer Science;G Audemard,2010

3. Audemard, G., Simon, L.: Predicting learnt clauses quality in modern SAT solvers. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 399–404 (2009)

4. Balint, A.: Engineering stochastic local search for the satisfiability problem. Ph.D. thesis, University of Ulm (2014)

5. Balint, A.: Original implementation of probSAT (2015). https://github.com/adrianopolus/probSAT

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