Computer Science – Artificial Intelligence
Scientific paper
2009-03-04
Computer Science
Artificial Intelligence
6 pages, 3 figures. Proc. of the 11th International Conf. on Theory and Applications of Satisfiability Testing, Guangzhou, Chi
Scientific paper
We present an online method for estimating the cost of solving SAT problems. Modern SAT solvers present several challenges to estimate search cost including non-chronological backtracking, learning and restarts. Our method uses a linear model trained on data gathered at the start of search. We show the effectiveness of this method using random and structured problems. We demonstrate that predictions made in early restarts can be used to improve later predictions. We also show that we can use such cost estimations to select a solver from a portfolio.
Haim Shai
Walsh Toby
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