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Circumspect descent prevails in solving random constraint satisfaction problems

We study the performance of stochastic local search algorithms for random instances of the K-satisfiability (K-SAT) problem. We present a stochastic local search algorithm, ChainSAT, which moves in the energy landscape of a problem instance by never going upwards in energy. ChainSAT is a focused alg...

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Autors principals: Alava, Mikko, Ardelius, John, Aurell, Erik, Kaski, Petteri, Krishnamurthy, Supriya, Orponen, Pekka, Seitz, Sakari
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2008
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2563103/
https://ncbi.nlm.nih.gov/pubmed/18832149
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0712263105
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