Evolution of a population of random Boolean networks
Institut für Festkörperphysik, TU Darmstadt, Hochschulstraße 6, 64289 Darmstadt, Germany
Corresponding author: a firstname.lastname@example.org
Revised: 23 December 2008
Published online: 29 January 2009
We investigate the evolution of populations of random Boolean networks under selection for robustness of the dynamics with respect to the perturbation of the state of a node. The fitness landscape contains a huge plateau of maximum fitness that spans the entire network space. When selection is so strong that it dominates over drift, the evolutionary process is accompanied by a slow increase in the mean connectivity and a slow decrease in the mean fitness. Populations evolved with higher mutation rates show a higher robustness under mutations. This means that even though all the evolved populations exist close to the plateau of maximum fitness, they end up in different regions of network space.
PACS: 87.23.Kg – Dynamics of evolution / 89.75.Hc – Networks and genealogical trees / 87.15.A- – Theory, modeling, and computer simulation
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2009