Chaos Driven Differential Evolution in the Task of Chaos Control Optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508864" target="_blank" >RIV/70883521:28140/10:63508864 - 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

Chaos Driven Differential Evolution in the Task of Chaos Control Optimization

Popis výsledku v původním jazyce

This paper focuses on the application of chaos driven Differential Evolution to the chaos control optimization problem. The focus of this paper is the embedding of chaotic systems in the form of the chaos number generator for Differential Evolution. Theaim of this paper is also to show extreme sensitivity of quality of results on the selection of evolutionary algorithm, setting-up of evolutionary algorithm, construction of cost function and any small change in its design. As a model of deterministic chaotic system, the two dimensional Henon map was used. Two complex targeting cost functions were tested in this work. The optimization was realized in several ways, each one for another desired behavior of system. Repeated simulations demonstrated the robustness of the used method and constructed cost function. Finally, the obtained results are compared with evolutionary algorithms, Self-Organizing Migrating Algorithm (SOMA) and canonical Differential Evolution.

Název v anglickém jazyce

Chaos Driven Differential Evolution in the Task of Chaos Control Optimization

Popis výsledku anglicky

This paper focuses on the application of chaos driven Differential Evolution to the chaos control optimization problem. The focus of this paper is the embedding of chaotic systems in the form of the chaos number generator for Differential Evolution. Theaim of this paper is also to show extreme sensitivity of quality of results on the selection of evolutionary algorithm, setting-up of evolutionary algorithm, construction of cost function and any small change in its design. As a model of deterministic chaotic system, the two dimensional Henon map was used. Two complex targeting cost functions were tested in this work. The optimization was realized in several ways, each one for another desired behavior of system. Repeated simulations demonstrated the robustness of the used method and constructed cost function. Finally, the obtained results are compared with evolutionary algorithms, Self-Organizing Migrating Algorithm (SOMA) and canonical Differential Evolution.

Druh

D - Stať ve sborníku

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 statě ve sborníku

2010 IEEE World congress on Computational Intelligence

ISBN

978-1-4244-6910-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

IEEE Control Systems Society

Místo vydání

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Místo konání akce

Barcelona, Spain

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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