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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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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