N-level Modulo-Based CNF encodings of Pseudo-Boolean constraints for MaxSAT

Author:

Zha AolongORCID,Koshimura Miyuki,Fujita Hiroshi

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Software

Reference48 articles.

1. Aavani, A., Mitchell, D.G., Ternovska, E. (2013). New encoding for translating pseudo-boolean constraints into SAT. In Proceedings of the 10th symposium on abstraction, reformulation, and approximation, SARA 2013, 11-12 July 2013, Leavenworth, Washington, USA. AAAI Press. http://www.aaai.org/ocs/index.php/SARA/SARA13/paper/view/7212 .

2. Abío, I., Nieuwenhuis, R., Oliveras, A., Rodríguez-Carbonell, E., Mayer-Eichberger, V. (2012). A new look at BDDs for Pseudo-Boolean constraints. Journal of Artificial Intelligence Research, 45(1), 443–480. https://doi.org/10.1613/jair.3653 .

3. Aggoun, A., & Vazacopoulos, A. (2004). Solving sports scheduling and timetabling problems with constraint programming. In Butenko, S., Gil-Lafuente, J. & Pardalos, P.M. (Eds.) Economics, management and optimization in sports (pp. 243–264). Berlin: Springer. https://doi.org/10.1007/978-3-540-24734-0_15 .

4. Ansótegui, C., Bonet, M.L., Levy, J. (2009). Solving (weighted) partial MaxSAT through satisfiability testing. In Kullmann, O. (Ed.) Theory and applications of satisfiability testing - SAT 2009, 12th international conference, SAT 2009, Swansea, UK, June 30 - July 3, 2009. Proceedings, Lecture Notes in Computer Science (Vol. 5584, pp. 427–440). Berlin: Springer. https://doi.org/10.1007/978-3-642-02777-2_39 .

5. Ansótegui, C., Bonet, M.L., Levy, J. (2010). A new algorithm for weighted partial MaxSAT. In Proceedings of the 24th AAAI conference on artificial intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010. AAAI Press. http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1774 .

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