Correlation Analysis of the Synchronizing-CA Landscape
نویسنده
چکیده
A correlation analysis will be applied to subspaces of the t-ness landscape generated by the synchronization task for one-dimensional cellular automata. This results in a stochastic model that can be used to characterize the correlation structure of those subspaces. The results show that both subspaces can be characterized by an AR(2) model, both for point mutation and crossover.
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