Computational study demonstrates incremental encodings optimize successive solver calls in unsatisfiability-based MaxSAT, suggesting enhanced efficiency for complex industrial problems.
In recent years, unsatisfiability-based algorithms have become prevalent as state of the art for solving industrial instances of Maximum Satisfiability (MaxSAT). These algorithms perform a succession of unsatisfiable SAT solver calls until an optimal
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Martins et al. (2015) studied this question.
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