Lower bounds for random 3-SAT via differential equations
Theoretical Computer Science - Phase transitions in combinatorial problems
IEEE Transactions on Information Theory - Part 1
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By using heuristic analysis proposed in [WSA03], we investigate the dynamical behavior of greedy local search algorithms for satisfiability (SAT) problems. We observe that the difference between hard and easy instances is relatively small while there are enough places to be improved locally, and that the difference becomes crucial when all such places are processed. We also show that a tabu search type restriction could be useful for improving the efficiency of greedy local search algorithms.