Phase transition in a random NK landscape model
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摘要
An analysis for the phase transition in a random NK landscape model, NK(n,k,z), is given. This model is motivated from population genetics and the solubility problem for the model is equivalent to a random (k+1)-SAT problem. Gao and Culberson [Y. Gao, J. Culberson, An analysis of phase transition in NK landscapes, Journal of Artificial Intelligence Research 17 (2002) 309–332] showed that a random instance generated by NK(n,2,z) with z>z0=27−754 is asymptotically insoluble. Based on empirical results, they conjectured that the phase transition occurs around the value z=z0. We prove that an instance generated by NK(n,2,z) with z
论文关键词:NK landscape,Fitness function,Solubility,Phase transition,Satisfiability problem
论文评审过程:Received 31 March 2006, Revised 26 March 2007, Accepted 13 June 2007, Available online 27 June 2007.
论文官网地址:https://doi.org/10.1016/j.artint.2007.06.002