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Motivation for application of evolutionary computation to chaotic systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A00001069" target="_blank" >RIV/70883521:28140/10:00001069 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-10707-8_1" target="_blank" >http://dx.doi.org/10.1007/978-3-642-10707-8_1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-10707-8_1" target="_blank" >10.1007/978-3-642-10707-8_1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Motivation for application of evolutionary computation to chaotic systems

  • Original language description

    This chapter focuses on motivating an application of evolutionary computation to complex problems especially with respect to chaotic systems. In this chapter, general evolutionary techniques are first reviewed, including the so-called evolvable hardware,with some selected examples of their applications. Then, motivation of studying chaotic systems as an interesting application domain for evolutionary algorithms is provided with brief discussions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Studies in Computational Intelligence

  • ISSN

    1860-949X

  • e-ISSN

  • Volume of the periodical

    267

  • Issue of the periodical within the volume

    Neuveden

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    33

  • Pages from-to

    3-36

  • UT code for WoS article

  • EID of the result in the Scopus database