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• W2023722467 abstract "An empirical study of randomly generated binary constraint satisfaction problems reveals that for problems with a given number of variables, domain size, and connectivity there is a critical level of constraint tightness at which a phase transition occurs. At the phase transition, problems change from being soluble to insoluble, and the difficulty of problems increases dramatically. A theory developed by Williams and Hogg [44], and independently developed by Smith [37], predicts where the hardest problems should occur. It is shown that the theory is in close agreement with the empirical results, except when constraint graphs are sparse." @default.
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• W2023722467 date "1996-03-01" @default.
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• W2023722467 title "An empirical study of phase transitions in binary constraint satisfaction problems" @default.
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• W2023722467 doi "https://doi.org/10.1016/0004-3702(95)00048-8" @default.
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