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Evolutionary Algorithms and Chaotic Systems

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    SYSNO ASEP0340153
    Document TypeM - Monograph Chapter
    R&D Document TypeMonograph Chapter
    TitleChaos Theory for Evolutionary Algorithms Researchers
    Author(s) Čelikovský, Sergej (UTIA-B) RID, ORCID
    Zelinka, I. (CZ)
    Source TitleEvolutionary Algorithms and Chaotic Systems. - Berlin : Springer-Verlag, 2010 / Zelinka I. ; Čelikovský S. ; Richter H. ; Chen G. - ISSN 1860-949X - ISBN 978-3-642-10706-1
    Pagess. 89-143
    Number of pages55 s.
    Number of copy201
    Number of pages521
    Languageeng - English
    CountryDE - Germany
    KeywordsComplex Systems ; Computational Intelligence ; Deterministic Chaos ; Evolutionary Computation
    Subject RIVBC - Control Systems Theory
    R&D ProjectsGA102/08/0186 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000275281800003
    EID SCOPUS77950224134
    DOI10.1007/978-3-642-10707-8
    AnnotationThis chapter deals with chaotic systems. Based on the characterization of deterministic chaos, universal features of that kind of behavior are explained. It is shown that despite the deterministic nature of chaos, long term behavior is unpredictable. This is called sensitivity to initial conditions. We further give a concept on quantifying chaotic dynamics: the Lyapunov exponent. Moreover, we explain how chaos can originate from order by period doubling, intermittence, chaotic transients and crises.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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