2024
IJCAI
IJCAI 2024
A Fast Algorithm for MaxSAT above Half Number of Clauses
Abstract
We study the following parameterization of the MaxSAT problem: Given a CNF formula F with m clauses, decide whether at least m/2 + μ clauses in F could be satisfied, where μ is the excess of the number of satisfied clauses over the trivial lower bound m/2 and is taken as the parameter. This perspective is known as the "above guarantee" parameterization. Since its introduction by Mahajan and Raman [1999], the analysis of parameterization above guarantee has become a highly active and fruitful line of research. In this paper, we develop a new algorithm with runtime O*(2.1479^μ), significantly improving the previous best upper bound O*(5.4064^μ) for this important problem. Here, the O* notation omits polynomial factors.
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Keyword Pioneer
— above guarantee
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning