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Evolutionary identification of hidden chaotic attractors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100472" target="_blank" >RIV/61989100:27240/16:86100472 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.engappai.2015.12.002" target="_blank" >http://dx.doi.org/10.1016/j.engappai.2015.12.002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.engappai.2015.12.002" target="_blank" >10.1016/j.engappai.2015.12.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary identification of hidden chaotic attractors

  • Original language description

    In this participation we discuss the possibility of mutual fusion of evolutionary algorithms and deterministic chaos. As demonstrated in previous research papers, evolutionary algorithms are capable of chaotic system control, identification or synthesis and vice versa, chaos can be observed in the evolutionary dynamics. More exactly, in this paper there is numerically demonstrated possible solution of the question whether identification of so-called basin of attraction for hidden attractor can be done by evolutionary algorithms. Hidden attractors are a special kind of attractors, that are hidden in the system structure and if ignored (undiscovered), then can cause serious damages, as already observed in the real world. The research presented here is bivalent. At first it shows, that evolutionary algorithms are able to identify presence of hidden attractors in the system, but also it can be extended to study an existence of hidden attractors in the evolutionary algorithms dynamics. All numerical simulations are demonstrated on Chua's chaotic attractor that contains an example of hidden attractor and at the end there are discussed discrete systems (synthesized by evolution) that likely exhibit hidden attractors, too.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

  • ISSN

    0952-1976

  • e-ISSN

  • Volume of the periodical

    50

  • Issue of the periodical within the volume

    únor 2016

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    159-167

  • UT code for WoS article

    000373410000014

  • EID of the result in the Scopus database

    2-s2.0-84960127489