Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Discrete Chaotic Lozi Map

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875488" target="_blank" >RIV/70883521:28140/16:43875488 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/16:86100237

Výsledek na webu

<a href="https://www.researchgate.net/publication/309102670_Chaos_enhanced_differential_evolution_in_the_task_of_evolutionary_control_of_discrete_chaotic_Lozi_map" target="_blank" >https://www.researchgate.net/publication/309102670_Chaos_enhanced_differential_evolution_in_the_task_of_evolutionary_control_of_discrete_chaotic_Lozi_map</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15598/aeee.v14i3.1166" target="_blank" >10.15598/aeee.v14i3.1166</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Discrete Chaotic Lozi Map

Popis výsledku v původním jazyce

In this paper, evolutionary technique Differential Evolution (DE) is used for the evolutionary tuning of controller parameters for the stabilization of selected discrete chaotic system, which is the two-dimensional Lozi map. The novelty of the approach is that the selected controlled discrete dissipative chaotic system is used within Chaos enhanced heuristic concept as the chaotic pseudo-random number generator to drive the mutation and crossover process in the DE. The idea was to utilize the hidden chaotic dynamics in pseudo-random sequences given by chaotic map to help Differential evolution algorithm in searching for the best controller settings for the same chaotic system. The optimizations were performed for three different required final behavior of the chaotic system, and two types of developed cost function. To confirm the robustness of presented approach, comparisons with canonical DE strategy and PSO algorithm have been performed.

Název v anglickém jazyce

Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Discrete Chaotic Lozi Map

Popis výsledku anglicky

In this paper, evolutionary technique Differential Evolution (DE) is used for the evolutionary tuning of controller parameters for the stabilization of selected discrete chaotic system, which is the two-dimensional Lozi map. The novelty of the approach is that the selected controlled discrete dissipative chaotic system is used within Chaos enhanced heuristic concept as the chaotic pseudo-random number generator to drive the mutation and crossover process in the DE. The idea was to utilize the hidden chaotic dynamics in pseudo-random sequences given by chaotic map to help Differential evolution algorithm in searching for the best controller settings for the same chaotic system. The optimizations were performed for three different required final behavior of the chaotic system, and two types of developed cost function. To confirm the robustness of presented approach, comparisons with canonical DE strategy and PSO algorithm have been performed.

Druh

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

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Advances in Electrical and Electronic Engineering

ISSN

1336-1376

e-ISSN

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Svazek periodika

14

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

14

Strana od-do

304-317

Kód UT WoS článku

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EID výsledku v databázi Scopus

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