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On the Evolutionary Optimization of Chaos Control ? a Brief Survey

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43868982" target="_blank" >RIV/70883521:28140/13:43868982 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the Evolutionary Optimization of Chaos Control ? a Brief Survey

  • Original language description

    This work represents the brief introduction into the issues of evolutionary optimization of discrete chaotic systems. This work introduces and compares evolutionary approach representing tuning of parameters for an existing control method either with thestandard cost function using the numerical desired state as the one of the input or blackbox type cost function, as well as meta-evolutionary approach representing synthesis of a whole control law by means of Analytic Programming (AP). The main part ofthis work is focused on the proper development of the cost function used in evolutionary process. As an example of discrete chaotic system, one-dimensional Logistic equation was used. For the experiments following soft computing tools were utilized: Symbolic regression tool Analytic Programming and evolutionary algorithms Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

  • ISBN

    978-3-642-33226-5

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    35-48

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    Ostrava

  • Event date

    Sep 5, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article