It has been shown that Maximum Satisfiability (MaxSAT) problem instances can be effectively solved by partitioning the set of soft clauses into several disjoint sets. The partitioning methods can be based on clause weights (e.g., stratification) or based on graph representations of the formula.
In this paper we suggest to apply partitioning to Maximum Satisfiability (MaxSAT), the optimization version of the well-known Satisfiability (SAT) problem.
Aug 27, 2012 · In this paper we suggest to apply partitioning to Maximum Satisfiability (MaxSAT), the optimization version of the well-known Satisfiability ( ...
May 25, 2023 · This paper proposes a new framework called UpMax that decouples the partitioning procedure from the MaxSAT solving algorithms.
In this paper we suggest to apply partitioning to Maximum Satisfiability (MaxSAT), the optimization version of the well-known Satisfiability (SAT) problem.
May 25, 2023 · It has been shown that Maximum Satisfiability (MaxSAT) problem instances can be effectively solved by partitioning the set of soft clauses ...
UpMax: User Partitioning for MaxSAT - DROPS - Schloss Dagstuhl
drops.dagstuhl.de › LIPIcs.SAT.2023.19
Aug 9, 2023 · It has been shown that Maximum Satisfiability (MaxSAT) problem instances can be effectively solved by partitioning the set of soft clauses into ...
Oct 2, 2023 · What is Maximum Satisfiability? ▷ Maximum Satisfiability ... How to Partition Soft Clauses? ▷ Graph representation of the MaxSAT ...
New algorithms that use the models found by the SAT solver to partition the relaxation variables are proposed, which add a new constraint on a subset of ...
Moreover, we emphasize that for any fixed value of k, one can get a sharper lower bound for rk(p) by partitioning [0, 1] to a large number of intervals and ...