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» Measuring the Hardness of SAT Instances
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AI
1999
Springer
13 years 7 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
SAT
2009
Springer
113views Hardware» more  SAT 2009»
14 years 1 months ago
Exploiting Cycle Structures in Max-SAT
We investigate the role of cycles structures (i.e., subsets of clauses of the form ¯l1 ∨ l2, ¯l1 ∨ l3, ¯l2 ∨ ¯l3) in the quality of the lower bound (LB) of modern MaxSAT ...
Chu Min Li, Felip Manyà, Nouredine Ould Moh...
DCC
2008
IEEE
14 years 7 months ago
On solving sparse algebraic equations over finite fields
A system of algebraic equations over a finite field is called sparse if each equation depends on a small number of variables. Finding efficiently solutions to the system is an unde...
Igor Semaev
SAT
2004
Springer
101views Hardware» more  SAT 2004»
14 years 22 days ago
Detecting Backdoor Sets with Respect to Horn and Binary Clauses
We study the parameterized complexity of detecting backdoor sets for instances of the propositional satisfiability problem (SAT) with respect to the polynomially solvable classes ...
Naomi Nishimura, Prabhakar Ragde, Stefan Szeider
JAR
2000
123views more  JAR 2000»
13 years 7 months ago
Local Search Algorithms for SAT: An Empirical Evaluation
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
Holger H. Hoos, Thomas Stützle