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Representation of genetic algorithms by forma analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F00%3A00005102" target="_blank" >RIV/00216275:25410/00:00005102 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Representation of genetic algorithms by forma analysis

  • Original language description

    An applicability of multiparameter systems is determined by their optimization for desired task. New methods of multiparameter system optimization have been recently published They are, for example, neural networks and evolution stochastic optimization algorithms. Design and analysis of evolution stochastic optimization algorithms requires unambiguous formulating and possibility to predict the algorithm behaviour while designing them.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proces Control '2000

  • ISBN

    80-7194-271-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Univerzita Pardubice

  • Place of publication

    Pardubice

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article