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Originally published in Science Express on 27 June 2002
Science 2 August 2002:
Vol. 297. no. 5582, pp. 812 - 815
DOI: 10.1126/science.1073287

Research Articles

Analytic and Algorithmic Solution of Random Satisfiability Problems

M. Mézard,1 G. Parisi,12 R. Zecchina13*

We study the satisfiability of random Boolean expressions built from many clauses with K variables per clause (K-satisfiability). Expressions with a ratio alpha  of clauses to variables less than a threshold alpha c are almost always satisfiable, whereas those with a ratio above this threshold are almost always unsatisfiable. We show the existence of an intermediate phase below alpha c, where the proliferation of metastable states is responsible for the onset of complexity in search algorithms. We introduce a class of optimization algorithms that can deal with these metastable states; one such algorithm has been tested successfully on the largest existing benchmark of K-satisfiability.

1 Laboratoire de Physique Théorique et Modèles Statistiques, CNRS and Université Paris Sud, Bât. 100, 91405 Orsay Cedex, France.
2 Sezione INFN, SMC and UdRm1 of INFM, Università "La Sapienza," P.le A. Moro 2, 00185 Roma, Italy.
3 Abdus Salam International Centre for Theoretical Physics, Str. Costiera 11, 34100 Trieste, Italy.
*   To whom correspondence should be addressed. E-mail: zecchina{at}ictp.trieste.it


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Science. ISSN 0036-8075 (print), 1095-9203 (online)