An investigation on evolutionary reconstruction of continuous chaotic systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088779" target="_blank" >RIV/61989100:27240/13:86088779 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/13:43869664

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.mcm.2011.06.034" target="_blank" >http://dx.doi.org/10.1016/j.mcm.2011.06.034</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mcm.2011.06.034" target="_blank" >10.1016/j.mcm.2011.06.034</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An investigation on evolutionary reconstruction of continuous chaotic systems

Popis výsledku v původním jazyce

This paper discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim of this work is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge of internal structure, i.e. based only on measured data and a predefined set of basic mathematical "objects". Algorithm SOMA and differential evolution were used in reported experiments here. Systems selected for numerical experiments here is thewell-known Lorenz system, Simplest Quadratic Flow, Double Sroll, Damped Driven Pendulum and Nosé-Hoover oscillator. For each algorithm repeated simulations were done, totaling 20simulations. According to obtained results it can be stated that evolutionary reconstruction is an alternative and promising way as to how to identify chaotic systems.

Název v anglickém jazyce

An investigation on evolutionary reconstruction of continuous chaotic systems

Popis výsledku anglicky

This paper discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim of this work is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge of internal structure, i.e. based only on measured data and a predefined set of basic mathematical "objects". Algorithm SOMA and differential evolution were used in reported experiments here. Systems selected for numerical experiments here is thewell-known Lorenz system, Simplest Quadratic Flow, Double Sroll, Damped Driven Pendulum and Nosé-Hoover oscillator. For each algorithm repeated simulations were done, totaling 20simulations. According to obtained results it can be stated that evolutionary reconstruction is an alternative and promising way as to how to identify chaotic systems.

Druh

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

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

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

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Mathematical and Computer Modelling

ISSN

0895-7177

e-ISSN

—

Svazek periodika

57

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

2-15

Kód UT WoS článku

000308805600002

EID výsledku v databázi Scopus

—