Abstract
Mutation/selection algorithms were applied to increase the efficiency and the robustness of sparse random networks. Selection for better efficiency leads to the well-known star topology, while selection for robustness only results in a relatively dense core and a small periphery. Concomitant selection for both efficiency and robustness leads to networks with intermittent center/periphery values. Networks evolving under multiple attack regimes develop distinct topologies with larger cores, and are characterized by parameter distributions different from those developing under single-attack regimes.
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