Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508860" target="_blank" >RIV/70883521:28140/10:63508860 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation

Popis výsledku v původním jazyce

This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented.

Název v anglickém jazyce

Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation

Popis výsledku anglicky

This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Evoluční návrh řídicích algoritmů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Journal of Communication and Computer

ISSN

1548-7709

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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