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arxiv: 1210.2786 · v2 · pith:S4U5V6NZnew · submitted 2012-10-10 · ❄️ cond-mat.stat-mech · nlin.AO

Evolutionary design of non-frustrated networks of phase-repulsive oscillators

classification ❄️ cond-mat.stat-mech nlin.AO
keywords networksevolutionarynon-frustratedanti-phasedesignfrustrationoscillatorsphase-repulsive
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Evolutionary optimisation algorithm is employed to design networks of phase-repulsive oscillators that achieve an anti-phase synchronised state. By introducing the link frustration, the evolutionary process is implemented by rewiring the links with probability proportional to their frustration, until the final network displaying a unique non-frustrated dynamical state is reached. Resulting networks are bipartite and with zero clustering. In addition, the designed non-frustrated anti-phase synchronised networks display a clear topological scale. This contrasts usually studied cases of networks with phase-attractive dynamics, whose performance towards full synchronisation is typically enhanced by the presence of a topological hierarchy.

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