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Tomoyasu Shimada

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Conference Aug 2026

Poster: Neural Network-Based SAT Solver Selection Using Instance Features

The Boolean satisfiability (SAT) problem is fundamental in applications such as verification and scheduling, where fast solving is often required. However, the performance of SAT solvers varies significantly across instances, making solver selection an important challenge. Previous studies have commonly employed random...

Takeru Nagahama, Tomohisa Kawakami, Tomoyasu Shimada et al. · 0 citations

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