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Journal
Scientific and technical journal «Priborostroenie»
UDK519.688
Issue:12 (59)
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A parallel algorithm for modeling random Boolean network (RBN) evolution with the use of the GPGPU technology is described. The influence of constraints on the length of attractors in modeling evolution is analyzed. Distribution of attractors length and the values of the average vertex outdegree for critical adaptive RBN derived with the use of proposed algorithm are presented.