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Abstract: . Finding sets of hard instances of propositional satisfiability is of interest for understanding the complexity of SAT, and for experimentally evaluating SAT algorithms. In discussing this we consider the performance of the most popular SAT algorithms on random problems, the theory of average case complexity, the threshold phenomenon, known lower bounds for certain classes of algorithms, and the problem of generating hard instances with solutions. (Update)
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.... the performance of SAT solvers has been evaluated experimentally either in terms of randomly generated instances of SAT problems, e.g. [24, 25], or structured instances, such as the instances from the DIMACS set [21] or the SATPLAN set [22] Merits of either approach are...
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14: Noise strategies for improving local search
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BibTeX entry: (Update)
S. Cook and D. Mitchell. Finding hard instances of the satisfiability problem: A survey. Proceedings of the DIMACS Workshop on Satisfiability Problems, To Appear, 1997. http://citeseer.ist.psu.edu/cook97finding.html More
@incollection{ cook97finding,
author = "Stephen A. Cook and David G Mitchell",
title = "Finding Hard Instances of the Satisfiability Problem: {A} Survey",
booktitle = "Satisfiability Problem: Theory and Applications",
volume = "35",
publisher = "American Mathematical Society",
editor = "Du and Gu and Pardalos",
pages = "1--17",
year = "1997",
url = "citeseer.ist.psu.edu/cook97finding.html" }
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The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.cs.utoronto.ca/~mitchell/):
Hard Problems for CSP Algorithms - Mitchell (1998)
(Correct)
Some Random CSPs are Hard for Resolution - Mitchell (2000)
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