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The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU27800" target="_blank" >RIV/00216305:26220/02:PU27800 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe

  • Original language description

    The using of the genetic algorithms for the optimalization of the parameters of the multiport averaging probe that is a one type from the differential producing flowmeters is described in this paper. The genetic algorithms are search algorithms based onthe mechanisms of the natural selection which may be used to the solve search and optimalization problems. Finally, there are shown a simulation of a using genetic algorithm frt minimize pressure loss and drag of probe body.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Conference and Competition Student EEICT 2002 - PROCEEDINGS (CD ROM version)

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    FEKT VUT Brno

  • Place of publication

    Brno

  • Event location

    FEKT VUT Brno

  • Event date

    Apr 25, 2002

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article