Name
Abstract | ||
|---|---|---|
Beside impressive progresses made by SAT solvers over the last ten years, only few works tried to understand why Conflict Directed Clause Learning algorithms (CDCL) are so strong and efficient on most industrial applications. We report in this work a key observation of CDCL solvers behavior on this family of benchmarks and explain it by an unsuspected side effect of their particular Clause Learning scheme. This new paradigm allows us to solve an important, still open, question: How to designing a fast, static, accurate, and predictive measure of new learnt clauses pertinence. Our paper is followed by empirical evidences that show how our new learning scheme improves state-of-the art results by an order of magnitude on both SAT and UNSAT industrial problems. |
Year | Venue | Keywords |
|---|---|---|
2009 | IJCAI | SAT solvers,UNSAT industrial problem,Conflict Directed Clause,new paradigm,new learning scheme,modern SAT solvers,Learning algorithm,new learnt clauses pertinence,learnt clauses quality,industrial application,CDCL solvers behavior,Learning scheme |
DocType | Citations | PageRank |
Conference | 174 | 5.27 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilles Audemard | 1 | 640 | 37.66 |
| Laurent Simon | 2 | 746 | 43.15 |