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Evolving enhanced topologies for the synchronization of dynamical complex networks

Research output: Working paperWorking paper and Preprints

Original languageEnglish
StateAccepted/In press - 23 Apr 2010


Enhancing the synchronization of dynamical networks is of great interest to those designing and analyzing many man-made and natural systems. In this work we investigate how network topology can be evolved to improve this property through the rewiring of edges. A new computational tool called NetEvo performs this task using a simulated annealing meta-heuristic. In contrast to other work which considers topological attributes when assessing current performance, we instead take a dynamical approach using simulated output from the system to direct the evolution of the network. Resultant topologies are analyzed using standard network measures, B-matrices and motif distributions. These uncover the convergence of many similar features for all our networks, highlighting also significant differences between those evolved using topological rather than dynamical performance measures

Additional information

Sponsorship: EPSRC grant EP/5011214 Terms of use: Copyright 2010 by the American Physical Society.

Research areas

  • topological bifurcation, coupled dynamical systems, evolution

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  • Preprint

    Submitted manuscript, 1 MB, PDF-document



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