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Abstract:
Robustness against noise is characteristic for biological networks of a living cell. Engineering of artificial noise-robust networks is important for various industrial and logistic applications. Here, flow distribution (pipeline) networks, representing a simplification of biological signal transduction systems or a toy model of logistic transportation systems, are investigated. By running evolutionary optimization, networks having prescribed output patterns and robust against structural noise are constructed. Statistical properties of such networks, including their motif distributions, are determined and discussed.
