ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Improvements to propositional satisfiability search algorithms
Improvements to propositional satisfiability search algorithms
Symbolic model checking using SAT procedures instead of BDDs
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Chaff: engineering an efficient SAT solver
Proceedings of the 38th annual Design Automation Conference
Resolution versus Search: Two Strategies for SAT
Journal of Automated Reasoning
SATO: An Efficient Propositional Prover
CADE-14 Proceedings of the 14th International Conference on Automated Deduction
Integrating Equivalency Reasoning into Davis-Putnam Procedure
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Heuristics based on unit propagation for satisfiability problems
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
A simplifier for propositional formulas with many binary clauses
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Using CSP look-back techniques to solve real-world SAT instances
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Annals of Mathematics and Artificial Intelligence
B-Cubing: New Possibilities for Efficient SAT-Solving
IEEE Transactions on Computers
A logical approach to efficient Max-SAT solving
Artificial Intelligence
Preprocessing Expression-Based Constraint Satisfaction Problems for Stochastic Local Search
CPAIOR '07 Proceedings of the 4th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Advanced Preprocessing for Answer Set Solving
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Using more reasoning to improve #SAT solving
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
SATzilla: portfolio-based algorithm selection for SAT
Journal of Artificial Intelligence Research
GUNSAT: a greedy local search algorithm for unsatisfiability
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Resolution in Max-SAT and its relation to local consistency in weighted CSPs
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Improving GASAT by replacing tabu search by DLM and enhancing the best members
Artificial Intelligence Review
Extending clause learning of SAT solvers with Boolean Gröbner bases
CASC'10 Proceedings of the 12th international conference on Computer algebra in scientific computing
Clause elimination procedures for CNF formulas
LPAR'10 Proceedings of the 17th international conference on Logic for programming, artificial intelligence, and reasoning
Beyond unit propagation in SAT solving
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
Efficient CNF simplification based on binary implication graphs
SAT'11 Proceedings of the 14th international conference on Theory and application of satisfiability testing
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Reconstructing solutions after blocked clause elimination
SAT'10 Proceedings of the 13th international conference on Theory and Applications of Satisfiability Testing
Binary clause reasoning in QBF
SAT'06 Proceedings of the 9th international conference on Theory and Applications of Satisfiability Testing
TACAS'10 Proceedings of the 16th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Interpolant strength revisited
SAT'12 Proceedings of the 15th international conference on Theory and Applications of Satisfiability Testing
Augmenting clause learning with implied literals
SAT'12 Proceedings of the 15th international conference on Theory and Applications of Satisfiability Testing
IJCAR'12 Proceedings of the 6th international joint conference on Automated Reasoning
On the utility of landmarks in SAT based planning
Knowledge-Based Systems
Cube and conquer: guiding CDCL SAT solvers by lookaheads
HVC'11 Proceedings of the 7th international Haifa Verification conference on Hardware and Software: verification and testing
International Journal of Advanced Intelligence Paradigms
Formula preprocessing in MUS extraction
TACAS'13 Proceedings of the 19th international conference on Tools and Algorithms for the Construction and Analysis of Systems
A constraint satisfaction approach for programmable logic detailed placement
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
A survey of the satisfiability-problems solving algorithms
International Journal of Advanced Intelligence Paradigms
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The backtracking based Davis Putnam (DPLL) procedure remains the dominant method for deciding the satisfiability of a CNF formula. In recent years there has been much work on improving the basic procedure by adding features like improved heuristics and data structures, intelligent backtracking, clause learning, etc. Reasoning with binary clauses in DPLL has been a much discussed possibility for achieving improved performance, but to date solvers based on this idea have not been competitive with the best unit propagation based DPLL solvers. In this paper we experiment with a DPLL solver called 2CLS+EQ that makes more extensive use of binary clause reasoning than has been tried before. The results are very encouraging-2CLS+EQ is competitive with the very best DPLL solvers. The techniques it uses also open up a number of other possibilities for increasing our ability to solve SAT problems.