Abstract
Experimentation of new algorithms is the usual companion section of papers dealing with SAT. However, the behavior of those algorithms is so unpredictable that even strong experiments (hundreds of benchmarks, dozen of solvers) can be still misleading. We present here a set of experiments of very small changes of a canonical Conflict Driven Clause Learning (CDCL) solver and show that even very close versions can lead to very different behaviors. In some cases, the best of them could perfectly have been used to convince the reader of the efficiency of a new method for SAT. This observation can be explained by the lack of real experimental studies of CDCL solvers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Biere, A.: Adaptive restart strategies for conflict driven SAT solvers. In: Kleine Büning, H., Zhao, X. (eds.) SAT 2008. LNCS, vol. 4996, pp. 28–33. Springer, Heidelberg (2008)
Brglez, F., Li, X.Y., Stallmann, M.F.: On SAT instance classes and a method for reliable performance experiments with SAT solvers. Annals of Mathematics and Artificial Intelligence 43, 1–34 (2005)
Eén, N., Sörensson, N.: An extensible sat-solver. In: Giunchiglia, E., Tacchella, A. (eds.) SAT 2003. LNCS, vol. 2919, pp. 502–518. Springer, Heidelberg (2004)
Goldberg, E., Novikov, Y.: BerkMin: A fast and robust SAT-solver. Discrete Applied Mathematics 155(12), 1549–1561 (2007)
Hamadi, Y., Jabbour, S., Sais, L.: ManySAT: Solver description. In: System description for the SAT-RACE (2008)
Huang, J.: The effect of restarts on the efficiency of clause learning. In: proceedings of IJCAI 2007, pp. 2318–2323 (2007)
Le Berre, D., Simon, L.: Essentials of the SAT 2003 competition. In: SAT 2003 (2003)
Moskewicz, M., Madigan, C., Zhao, Y., Zhang, L., Malik, S.: Chaff: Engineering an efficient SAT solver. In: Proceedings of DAC 2001, pp. 530–535 (2001)
Silva, J.P.M., Sakallah, K.A.: Grasp - a new search algorithm for satisfiability. In: ICCAD, pp. 220–227 (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Audemard, G., Simon, L. (2008). Experimenting with Small Changes in Conflict-Driven Clause Learning Algorithms. In: Stuckey, P.J. (eds) Principles and Practice of Constraint Programming. CP 2008. Lecture Notes in Computer Science, vol 5202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85958-1_55
Download citation
DOI: https://doi.org/10.1007/978-3-540-85958-1_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85957-4
Online ISBN: 978-3-540-85958-1
eBook Packages: Computer ScienceComputer Science (R0)