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Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141604" target="_blank" >RIV/00216305:26210/21:PU141604 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9504798" target="_blank" >https://ieeexplore.ieee.org/document/9504798</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC45853.2021.9504798" target="_blank" >10.1109/CEC45853.2021.9504798</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches

  • Original language description

    This paper deals with an advanced adjustment of stabilization sequences for selected discrete chaotic systems by means of meta-evolutionary approaches. As the representative models of deterministic chaotic systems, a two dimensional Lozi map and two dimensional Hénon map were used. The novelty of the approach is in an effective use of a new type of objective function, which is essential for the whole optimization process of higher periodic orbits as well as an effective use of advanced metaheuristic optimization methods. Although the task of stabilizing the Lozi and Hénon chaotic systems is known, its solution presented for periodic orbit four is not trivial. The task of stabilizing the Lozi chaotic systems for period four is a new approach. Furthermore, modern meta-heuristics were used for own design of the external disturbance sequences. The used optimization methods are a naive grid-based algorithm (NG), a grid-based Nelder-Mead Algorithm (NM), a Genetic Algorithm (GA) as well as Genetic Programming (GP). A connection of GP and second level optimization using GA displays significantly better results than the given stand-alone meta-heuristic techniques.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2021 IEEE Congress on Evolutionary Computation (CEC)

  • ISBN

    978-1-7281-8393-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    572-579

  • Publisher name

    IEEE

  • Place of publication

    Kraków, Poland

  • Event location

    Krakow

  • Event date

    Jun 28, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000703866100072