Srovnání Výkonnosti Evolučních Algoritmů v Problematice Optimalizace Řízení Chaosu

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507077" target="_blank" >RIV/70883521:28140/08:63507077 - 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

Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control

Popis výsledku v původním jazyce

This work deals with optimization of the control of chaos by means of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. The optimization was realized in several ways, each one for another evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview.

Název v anglickém jazyce

Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control

Popis výsledku anglicky

This work deals with optimization of the control of chaos by means of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. The optimization was realized in several ways, each one for another evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputingové metody v řízení</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Nineteenth International Workshop on Database and Expert Systems Applications

ISBN

978-0-7695-3299-8

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

IEEE Operations Center

Místo vydání

Piscataway

Místo konání akce

Turin, Italy

Datum konání akce

5. 9. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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