pith. sign in

arxiv: 0910.1247 · v1 · submitted 2009-10-07 · 💻 cs.AI

Integrating Conflict Driven Clause Learning to Local Search

classification 💻 cs.AI
keywords localcdclsearchclauseconflictdrivenhybridlearning
0
0 comments X
read the original abstract

This article introduces SatHyS (SAT HYbrid Solver), a novel hybrid approach for propositional satisfiability. It combines local search and conflict driven clause learning (CDCL) scheme. Each time the local search part reaches a local minimum, the CDCL is launched. For SAT problems it behaves like a tabu list, whereas for UNSAT ones, the CDCL part tries to focus on minimum unsatisfiable sub-formula (MUS). Experimental results show good performances on many classes of SAT instances from the last SAT competitions.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.