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2006

GASAT: A Genetic Local Search Algorithm for the Satisfiability Problem

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GASAT: A Genetic Local Search Algorithm for the Satisfiability Problem
This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossover and a tabu search stage. We have conducted experiments to evaluate the different components of GASAT and to compare its overall performance with state-ofthe-art SAT algorithms. These experiments show that GASAT provides very competitive results. Keywords SAT, evolutionary algorithms, tabu search, recombination operators.
Frédéric Lardeux, Frédé
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2006
Where EC
Authors Frédéric Lardeux, Frédéric Saubion, Jin-Kao Hao
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