Evolutionary design of functional networks robust against noiseP. Kaluza and A. S. Mikhailov
Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft - Faradayweg 4-6, 14195 Berlin, Germany
received 30 March 2007; accepted in final form 22 June 2007; published August 2007
published online 18 July 2007
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.
89.75.Hc - Networks and genealogical trees.
89.20.-a - Interdisciplinary applications of physics.
89.75.Fb - Structures and organization in complex systems.
© Europhysics Letters Association 2007