Incremental Cardinality Constraints for MaxSAT
Not on the map. Why?
Abstract (arXiv)
Maximum Satisfiability (MaxSAT) is an optimization variant of the Boolean Satisfiability (SAT) problem. In general, MaxSAT algorithms perform a succession of SAT solver calls to reach an optimum solution making extensive use of cardinality constraints. Many of these algorithms are non-incremental in nature, i.e. at each iteration the formula is rebuilt and no knowledge is reused from one iteration to another. In this paper, we exploit the knowledge acquired across iterations using novel schemes to use cardinality constraints in an incremental fashion. We integrate these schemes with several MaxSAT algorithms. Our experimental results show a significant performance boost for these algo- rithms as compared to their non-incremental counterparts. These results suggest that incremental cardinality constraints could be beneficial for other constraint solving domains.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2014.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1; 2025: 1; 2026: 1.
6 papers.
- 2021Robust Optimal Classification Trees Against Adversarial Examplescited by 11
- 2024torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problemcited by 3
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiabilitycited by 2
- 2023UpMax: User partitioning for MaxSATcited by 0
- 2023Automatic Algorithm Selection for Pseudo-Boolean Optimization with Given Computational Time Limitscited by 0
- 2026Can LLMs Build a MaxSAT Solver from Papers? The CoreForge Experiencecited by 0
- 2026Can LLMs Build a MaxSAT Solver from Papers? The CoreForge Experience16 Jul 2026
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiability29 Jan 2025
- 2024torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem6 Feb 2024
- 2023Automatic Algorithm Selection for Pseudo-Boolean Optimization with Given Computational Time Limits7 Sep 2023
- 2023UpMax: User partitioning for MaxSAT25 May 2023
- 2021Robust Optimal Classification Trees Against Adversarial Examples8 Sep 2021