Recursive Weight Heuristic for Random k-Sat
نویسندگان
چکیده
Look-ahead SAT solvers are the most suitable to solve random k-SAT formulas. Based on the DPLL framework, they use branching heuristics. We generalise the application of the efficient recursive weight heuristic for k-SAT problems. The heuristic and an efficient implementation are presented in this paper. Parameter tuning is performed providing experimental results. Further experiments demonstrate the improvement of the performance of the heuristic extending march, the strongest complete solver on random k-SAT formulae as shown by the results of SAT 2009 competition.
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تاریخ انتشار 2010