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Constraint-Based Techniques in Stochastic Local Search MaxSAT Solving.

, , , , and . CP, volume 11802 of Lecture Notes in Computer Science, page 232-250. Springer, (2019)

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The First Evaluation of Pseudo-Boolean Solvers (PB'05)., and . J. Satisf. Boolean Model. Comput., 2 (1-4): 103-143 (2006)Search pruning techniques in SAT-based branch-and-bound algorithmsfor the binate covering problem., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 21 (5): 505-516 (2002)DistMS: A Non-Portfolio Distributed Solver for Maximum Satisfiability., , and . CoRR, (2015)Computing the Summed Adjacency Disruption Number between Two Genomes with Duplicate Genes Using Pseudo-Boolean Optimization., , and . RECOMB-CG, volume 5817 of Lecture Notes in Computer Science, page 138-149. Springer, (2009)DeepData: Machine learning in the marine ecosystems., , , , and . Expert Syst. Appl., (2022)InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments., , and . CoRR, (2022)On Using Cutting Planes in Pseudo-Boolean Optimization., and . J. Satisf. Boolean Model. Comput., 2 (1-4): 209-219 (2006)Inferring phylogenetic trees using pseudo-Boolean optimization., , and . AI Commun., 27 (3): 229-243 (2014)Satisfiability-Based Algorithms for Boolean Optimization., and . Ann. Math. Artif. Intell., 40 (3-4): 353-372 (2004)Improving Search Space Splitting for Parallel SAT Solving., , and . ICTAI (1), page 336-343. IEEE Computer Society, (2010)