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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2012
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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. |
format | Online Article Text |
id | pubmed-3522069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT levnajiczoran evolutionarydesignofnonfrustratednetworksofphaserepulsiveoscillators |