Using Monte Carlo Method for Searching Partitionings of Hard Variants of Boolean Satisfiability Problem

@article{Semenov2015UsingMC,
  title={Using Monte Carlo Method for Searching Partitionings of Hard Variants of Boolean Satisfiability Problem},
  author={Alexander A. Semenov and Oleg Zaikin},
  journal={ArXiv},
  year={2015},
  volume={abs/1507.00862}
}
In this paper we propose the approach for constructing partitionings of hard variants of the Boolean satisfiability problem SAT. Such partitionings can be used for solving corresponding SAT instances in parallel. We suggest the approach based on the Monte Carlo method for estimating time of processing of an arbitrary partitioning. We solve the problem of search for a partitioning with good effectiveness via the optimization of the special predictive function over the finite search space. For… 

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