The quest for efficient Boolean satisfiability solvers

Lintao Zhang, Sharad Malik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

121 Scopus citations


The classical NP-complete problem of Boolean Satisfiability (SAT) has seen much interest in not just the theoretical computer science community, but also in areas where practical solutions to this problem enable significant practical applications. Since the first development of the basic search based algorithm proposed by Davis, Putnam, Logemann and Loveland (DPLL) about forty years ago, this area has seen active research effort with many interesting contributions that have culminated in state-of-the-art SAT solvers today being able to handle problem instances with thousands, and in same cases even millions, of variables. In this paper we examine some of the main ideas along this passage that have led to our current capabilities. Given the depth of the literature in this field, it is impossible to do this in any comprehensive way; rather we focus on techniques with consistent demonstrated efficiency in available solvers. For the most part, we focus on techniques within the basic DPLL search framework, but also briefly describe other approaches and look at some possible future research directions.

Original languageEnglish (US)
Title of host publicationComputer Aided Verification - 14th International Conference, CAV 2002, Proceedings
EditorsEd Brinksma, Kim Guldstrand Larsen
PublisherSpringer Verlag
Number of pages20
ISBN (Electronic)9783540439974
StatePublished - 2002
Event14th International Conference on Computer Aided Verification, CAV 2002 - Copenhagen, Denmark
Duration: Jul 27 2002Jul 31 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other14th International Conference on Computer Aided Verification, CAV 2002

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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