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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 2 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
APPROX
2004
Springer
125views Algorithms» more  APPROX 2004»
15 years 2 months ago
Strong Refutation Heuristics for Random k-SAT
A simple first moment argument shows that in a randomly chosen k-SAT formula with m clauses over n boolean variables, the fraction of satisfiable clauses is 1−2−k +o(1) as m/...
Amin Coja-Oghlan, Andreas Goerdt, André Lan...
AAAI
1997
14 years 10 months ago
Variable-Selection Heuristics in Local Search for SAT
One of the important components of a local search strategy for satisfiability testing is the variable selection heuristic, which determines the next variable to be flipped. In a...
Alex S. Fukunaga
108
Voted
AIA
2006
14 years 10 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann
CAEPIA
2005
Springer
15 years 3 months ago
Mapping Conformant Planning into SAT Through Compilation and Projection
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
Héctor Palacios, Hector Geffner