Performance comparison of differential evolution and soma on chaos control optimization problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86083865" target="_blank" >RIV/61989100:27240/12:86083865 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/12:43867986

Výsledek na webu

<a href="http://dx.doi.org/10.1142/S021812741230025X" target="_blank" >http://dx.doi.org/10.1142/S021812741230025X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S021812741230025X" target="_blank" >10.1142/S021812741230025X</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance comparison of differential evolution and soma on chaos control optimization problems

Popis výsledku v původním jazyce

This paper compares the performance of Differential Evolution (DE) with Self-Organizing Migrating Algorithm (SOMA) in the task of optimization of the control of chaos. The main aim of this paper is to show that evolutionary algorithms like DE are capableof optimizing chaos control, leading to satisfactory results, and to show that extreme sensitivity of the chaotic environment influences the quality of results on the selected EA, construction of cost function (CF) and any small change in the CF design.As a model of deterministic chaotic system, the two-dimensional Henon map is used and two complex targeting cost functions are tested. The evolutionary algorithms, DE and SOMA were applied with different strategies. For each strategy, repeated simulations demonstrate the robustness of the used method and constructed CF. Finally, the obtained results are compared with previous research.

Název v anglickém jazyce

Performance comparison of differential evolution and soma on chaos control optimization problems

Popis výsledku anglicky

This paper compares the performance of Differential Evolution (DE) with Self-Organizing Migrating Algorithm (SOMA) in the task of optimization of the control of chaos. The main aim of this paper is to show that evolutionary algorithms like DE are capableof optimizing chaos control, leading to satisfactory results, and to show that extreme sensitivity of the chaotic environment influences the quality of results on the selected EA, construction of cost function (CF) and any small change in the CF design.As a model of deterministic chaotic system, the two-dimensional Henon map is used and two complex targeting cost functions are tested. The evolutionary algorithms, DE and SOMA were applied with different strategies. For each strategy, repeated simulations demonstrate the robustness of the used method and constructed CF. Finally, the obtained results are compared with previous research.

Druh

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

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

International Journal of Bifurcation and Chaos

ISSN

0218-1274

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

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EID výsledku v databázi Scopus

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