Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)
This article, "Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)," explores the optimization of Fuzzy Temporal Logic (FTS) for SAT solvers. It delves into how various transformation and encoding techniques impact the efficiency and effectiveness of SAT-based problem-solving. Researchers can access the paper via arXiv, where it is available in PDF and TeX source formats.
The article "Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)" by João Filipe and collaborators, investigates the optimization of Fuzzy Temporal Logic (FTS) within the context of Satisfiability (SAT) solving. The research focuses on understanding which transformation and encoding methods enhance or detract from the performance of SAT solvers when applied to FTS problems.
This extended version of the paper was submitted to arXiv on May 28, 2026, and is available for public access. Researchers can view the full text in PDF format or access the TeX source through the arXiv platform.
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