Hirsch, E. A., Local Search Algorithms for SAT: Worst-Case Analysis.
Proceedings of SWAT'98, LNCS 1432, pp.246-254.

Abstract. Recent experiments demonstrated that local search algorithms (e.g. GSAT) are able to find satisfying assignments for many ``hard'' Boolean formulas. However, no non-trivial worst-case upper bounds were proved, although many such bounds of the form 2an (a<1 is a constant) are known for other SAT algorithms, e.g. resolution-like algorithms. In the present paper we prove such a bound for a local search algorithm, namely for CSAT. The class of formulas we consider covers most of DIMACS benchmarks, the satisfiability problem for this class of formulas is NP-complete.

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