Machine Learning-Based Restart Policy for CDCL SAT Solvers
SAT, pp. 94-110, 2018.
EI
Abstract:
Restarts are a critically important heuristic in most modern conflict-driven clause-learning (CDCL) SAT solvers. The precise reason as to why and how restarts enable CDCL solvers to scale efficiently remains obscure. In this paper we address this question, and provide some answers that enabled us to design a new effective machine learning...More
Code:
Data:
Tags
Comments