Evolutionary reconstruction of chaotic systems

Result code in 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>

Alternative codes found

RIV/61989100:27240/10:86075795

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evolutionary reconstruction of chaotic systems

Original language description

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.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

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

Book/collection name

Evolutionary algoritms and chaotic systems

ISBN

978-3-642-10706-1

Number of pages of the result

27

Pages from-to

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Number of pages of the book

521

Publisher name

Springer - Verlag Berlin

Place of publication

Heidelberg

UT code for WoS chapter

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