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

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, unti...

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Autor principal: Levnajić, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522069/
https://www.ncbi.nlm.nih.gov/pubmed/23243494
http://dx.doi.org/10.1038/srep00967
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author Levnajić, Zoran
author_facet Levnajić, Zoran
author_sort Levnajić, Zoran
collection PubMed
description 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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spelling pubmed-35220692012-12-14 Evolutionary design of non-frustrated networks of phase-repulsive oscillators Levnajić, Zoran Sci Rep Article 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. Nature Publishing Group 2012-12-14 /pmc/articles/PMC3522069/ /pubmed/23243494 http://dx.doi.org/10.1038/srep00967 Text en Copyright © 2012, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Levnajić, Zoran
Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title_full Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title_fullStr Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title_full_unstemmed Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title_short Evolutionary design of non-frustrated networks of phase-repulsive oscillators
title_sort evolutionary design of non-frustrated networks of phase-repulsive oscillators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522069/
https://www.ncbi.nlm.nih.gov/pubmed/23243494
http://dx.doi.org/10.1038/srep00967
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