Advertisement

Open-WBO: A Modular MaxSAT Solver,

  • Ruben Martins
  • Vasco Manquinho
  • Inês Lynce
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8561)

Abstract

This paper presents open-wbo, a new MaxSAT solver. open-wbo has two main features. First, it is an open-source solver that can be easily modified and extended. Most MaxSAT solvers are not available in open-source, making it hard to extend and improve current MaxSAT algorithms. Second, open-wbo may use any MiniSAT-like solver as the underlying SAT solver. As many other MaxSAT solvers, open-wbo relies on successive calls to a SAT solver. Even though new techniques are proposed for SAT solvers every year, for many MaxSAT solvers it is hard to change the underlying SAT solver. With open-wbo, advances in SAT technology will result in a free improvement in the performance of the solver. In addition, the paper uses open-wbo to evaluate the impact of using different SAT solvers in the performance of MaxSAT algorithms.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Achá, R.A., Nieuwenhuis, R.: Curriculum-based course timetabling with SAT and MaxSAT. Annals of Operations Research, 1–21 (2012)Google Scholar
  2. 2.
    Ansótegui, C., Bonet, M.L., Gabàs, J., Levy, J.: Improving SAT-Based Weighted MaxSAT Solvers. In: Milano, M. (ed.) CP 2012. LNCS, vol. 7514, pp. 86–101. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Ansótegui, C., Bonet, M.L., Levy, J.: Solving (Weighted) Partial MaxSAT through Satisfiability Testing. In: Kullmann [18], pp. 427–440Google Scholar
  4. 4.
    Ansótegui, C., Manyà, F.: Mapping Problems with Finite-Domain Variables into Problems with Boolean Variables. In: Hoos, H.H., Mitchell, D.G. (eds.) SAT 2004. LNCS, vol. 3542, pp. 1–15. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Asín, R., Nieuwenhuis, R., Oliveras, A., Rodríguez-Carbonell, E.: Practical algorithms for unsatisfiability proof and core generation in SAT solvers. AI Communications 23(2-3), 145–157 (2010)zbMATHMathSciNetGoogle Scholar
  6. 6.
    Asín, R., Nieuwenhuis, R., Oliveras, A., Rodríguez-Carbonell, E.: Cardinality Networks: a theoretical and empirical study. Constraints 16(2), 195–221 (2011)CrossRefzbMATHMathSciNetGoogle Scholar
  7. 7.
    Audemard, G., Lagniez, J.M., Simon, L.: Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction. In: Järvisalo, M., Van Gelder, A. (eds.) SAT 2013. LNCS, vol. 7962, pp. 309–317. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  8. 8.
    Audemard, G., Simon, L.: Predicting Learnt Clauses Quality in Modern SAT Solvers. In: Boutilier, C. (ed.) International Joint Conference on Artificial Intelligence, pp. 399–404 (2009)Google Scholar
  9. 9.
    Audemard, G., Simon, L.: Glucose 2.3 in the SAT 2013 Competition. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], pp. 42–43Google Scholar
  10. 10.
    Balint, A., Belov, A., Heule, M., Järvisalo, M.: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions. Tech. rep., Department of Computer Science Series of Publications B, vol. B-2013-1, University of Helsinki, Helsinki (2013)Google Scholar
  11. 11.
    Chen, J.: Solvers with a Bit-Encoding Phase Selection Policy and a Decision-Depth-Sensitive Restart Policy. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], pp. 44–45Google Scholar
  12. 12.
    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)CrossRefGoogle Scholar
  13. 13.
    Fu, Z., Malik, S.: On Solving the Partial MAX-SAT Problem. In: Biere, A., Gomes, C.P. (eds.) SAT 2006. LNCS, vol. 4121, pp. 252–265. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  14. 14.
    Gent, I.P., Nightingale, P.: A new encoding of All Different into SAT. In: International Workshop on Modelling and Reformulating Constraint Satisfaction Problems (2004)Google Scholar
  15. 15.
    Hölldobler, S., Manthey, N., Steinke, P.: A Compact Encoding of Pseudo-Boolean Constraints into SAT. In: Glimm, B., Krüger, A. (eds.) KI 2012. LNCS, vol. 7526, pp. 107–118. Springer, Heidelberg (2012)Google Scholar
  16. 16.
    Janota, M., Lynce, I., Manquinho, V., Marques-Silva, J.: PackUp: Tools for Package Upgradability Solving. Journal on Satisfiability, Boolean Modeling and Computation 8(1/2), 89–94 (2012)MathSciNetGoogle Scholar
  17. 17.
    Koshimura, M., Zhang, T., Fujita, H., Hasegawa, R.: QMaxSAT: A Partial Max-SAT Solver. Journal on Satisfiability, Boolean Modeling and Computation 8, 95–100 (2012)MathSciNetGoogle Scholar
  18. 18.
    Kullmann, O. (ed.): SAT 2009. LNCS, vol. 5584. Springer, Heidelberg (2009)zbMATHGoogle Scholar
  19. 19.
    Le Berre, D., Parrain, A.: The Sat4j library, release 2.2. Journal on Satisfiability, Boolean Modeling and Computation 7(2-3), 59–66 (2010)Google Scholar
  20. 20.
    Le Berre, D., Rapicault, P.: Dependency Management for the Eclipse Ecosystem: Eclipse P2, Metadata and Resolution. In: International Workshop on Open Component Ecosystems, pp. 21–30. ACM (2009)Google Scholar
  21. 21.
    Li, C.M., Manyà, F.: MaxSAT, Hard and Soft Constraints. In: Handbook of Satisfiability, pp. 613–631. IOS Press (2009)Google Scholar
  22. 22.
    Luby, M., Sinclair, A., Zuckerman, D.: Optimal Speedup of Las Vegas Algorithms. Information Processing Letters 47(4), 173–180 (1993)CrossRefzbMATHMathSciNetGoogle Scholar
  23. 23.
    Manquinho, V., Marques-Silva, J., Planes, J.: Algorithms for Weighted Boolean Optimization. In: Kullmann [18], pp. 495–508Google Scholar
  24. 24.
    Marques-Silva, J., Argelich, J., Graça, A., Lynce, I.: Boolean lexicographic optimization: algorithms & applications. Annals of Mathematics and Artificial Intelligence 62(3-4), 317–343 (2011)CrossRefzbMATHMathSciNetGoogle Scholar
  25. 25.
    Martins, R., Manquinho, V.M., Lynce, I.: On Partitioning for Maximum Satisfiability. In: Raedt, L.D., Bessière, C., Dubois, D., Doherty, P., Frasconi, P., Heintz, F., Lucas, P.J.F. (eds.) European Conference on Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, vol. 242, pp. 913–914. IOS Press (2012)Google Scholar
  26. 26.
    Morgado, A., Heras, F., Liffiton, M., Planes, J., Marques-Silva, J.: Iterative and core-guided MaxSAT solving: A survey and assessment. Constraints 18(4), 478–534 (2013)CrossRefMathSciNetGoogle Scholar
  27. 27.
    Nabeshima, H., Iwanuma, K., Inoue, K.: GLUEMINISAT2.2.7. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], pp. 46–47Google Scholar
  28. 28.
    Ogawa, T., Liu, Y., Hasegawa, R., Koshimura, M., Fujita, H.: Modulo Based CNF Encoding of Cardinality Constraints and Its Application to MaxSAT Solvers. In: International Conference on Tools with Artificial Intelligence, pp. 9–17. IEEE (2013)Google Scholar
  29. 29.
    Oh, C.: gluH: Modified Version of glucose 2.1. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], p. 48Google Scholar
  30. 30.
    Pipatsrisawat, K., Darwiche, A.: A Lightweight Component Caching Scheme for Satisfiability Solvers. In: Marques-Silva, J., Sakallah, K.A. (eds.) SAT 2007. LNCS, vol. 4501, pp. 294–299. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  31. 31.
    Wieringa, S.: GlucoRed. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], pp. 40–41Google Scholar
  32. 32.
    Yasumoto, T., Okugawa, T.: SINNminisat. In: Proceedings of SAT Competition 2013 : Solver and Benchmark Descriptions [10], p. 85Google Scholar
  33. 33.
    Yasumoto, T., Okugawa, T.: ZENN. In: Proceedings of SAT Competition 2013: Solver and Benchmark Descriptions [10], p. 95Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ruben Martins
    • 1
  • Vasco Manquinho
    • 2
  • Inês Lynce
    • 2
  1. 1.Department of Computer ScienceUniversity of OxfordUnited Kingdom
  2. 2.INESC-ID / Instituto Superior TécnicoUniversidade de LisboaPortugal

Personalised recommendations