Evolutionary reconstruction of chaotic systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10082126" target="_blank" >RIV/00216208:11320/10:10082126 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/10:86075795

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary reconstruction of chaotic systems

Popis výsledku v původním jazyce

This chapter discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge ofinternal structure, i.e. based only on measured data. Five different evolutionary algorithms are presented and tested in a total of 13 and 12 versions in two different versions of experiments. System selected for numerical experiments here is the well-known logistic equation. For each algorithm and its version, 100 repeated simulations were conducted. According to obtained results it can e stated that evolutionary reconstruction is an alternative and a promising way as to how to identify chaotic systems.

Název v anglickém jazyce

Evolutionary reconstruction of chaotic systems

Popis výsledku anglicky

This chapter discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge ofinternal structure, i.e. based only on measured data. Five different evolutionary algorithms are presented and tested in a total of 13 and 12 versions in two different versions of experiments. System selected for numerical experiments here is the well-known logistic equation. For each algorithm and its version, 100 repeated simulations were conducted. According to obtained results it can e stated that evolutionary reconstruction is an alternative and a promising way as to how to identify chaotic systems.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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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 knihy nebo sborníku

Evolutionary algoritms and chaotic systems

ISBN

978-3-642-10706-1

Počet stran výsledku

27

Strana od-do

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Počet stran knihy

521

Název nakladatele

Springer - Verlag Berlin

Místo vydání

Heidelberg

Kód UT WoS kapitoly

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