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  1. Propositional proof systems based on maximum satisfiability.Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, Antonio Morgado & Joao Marques-Silva - 2021 - Artificial Intelligence 300 (C):103552.
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  • CCEHC: An efficient local search algorithm for weighted partial maximum satisfiability.Chuan Luo, Shaowei Cai, Kaile Su & Wenxuan Huang - 2017 - Artificial Intelligence 243 (C):26-44.
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  • New local search methods for partial MaxSAT.Shaowei Cai, Chuan Luo, Jinkun Lin & Kaile Su - 2016 - Artificial Intelligence 240 (C):1-18.
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  • MaxSAT by improved instance-specific algorithm configuration.Carlos Ansótegui, Joel Gabàs, Yuri Malitsky & Meinolf Sellmann - 2016 - Artificial Intelligence 235 (C):26-39.
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  • Cost-optimal constrained correlation clustering via weighted partial Maximum Satisfiability.Jeremias Berg & Matti Järvisalo - 2017 - Artificial Intelligence 244 (C):110-142.
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  • Old techniques in new ways: Clause weighting, unit propagation and hybridization for maximum satisfiability.Shaowei Cai & Zhendong Lei - 2020 - Artificial Intelligence 287 (C):103354.
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  • On the complexity of inconsistency measurement.Matthias Thimm & Johannes P. Wallner - 2019 - Artificial Intelligence 275 (C):411-456.
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  • WPM3: An (in)complete algorithm for weighted partial MaxSAT.Carlos Ansótegui & Joel Gabàs - 2017 - Artificial Intelligence 250 (C):37-57.
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  • Minimal sets on propositional formulae. Problems and reductions.Joao Marques-Silva, Mikoláš Janota & Carlos Mencía - 2017 - Artificial Intelligence 252 (C):22-50.
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  • Understanding the complexity of axiom pinpointing in lightweight description logics.Rafael Peñaloza & Barış Sertkaya - 2017 - Artificial Intelligence 250 (C):80-104.
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