SAT Local Search Algorithms: Worst-Case Study

  • Authors:
  • Edward A. Hirsch

  • Affiliations:
  • Steklov Institute of Mathematics at St. Petersburg, 27 Fontanka, 191011 St. Petersburg, Russia http://logic.pdmi.ras.ru/∼hirsch

  • Venue:
  • Journal of Automated Reasoning
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recent experiments demonstrated that local search algorithms (e.g. GSAT) are able to find satisfying assignments for many “hard” Boolean formulas. A wide experimental study of these algorithms demonstrated their good performance on some inportant classes of formulas as well as poor performance on some other ones. In contrast, theoretical knowledge of their worst-case behavior is very limited. However, many worst-case upper and lower bounds of the form 2α in (αlinear-size formulas we consider for the upper bound covers most of the DIMACS benchmarks; the satisfiability problem for this class of formulas is NP-complete.