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A novel local search based on variable-focusing for random K-SAT (1311.2914v2)

Published 9 Oct 2013 in cs.AI and cond-mat.dis-nn

Abstract: We introduce a new local search algorithm for satisfiability problems. Usual approaches focus uniformly on unsatisfied clauses. The new method works by picking uniformly random variables in unsatisfied clauses. A Variable-based Focused Metropolis Search (V-FMS) is then applied to random 3-SAT. We show that it is quite comparable in performance to the clause-based FMS. Consequences for algorithmic design are discussed.

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