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Evolutionary Heuristics vs. Standard Optimization Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F00%3A00000037" target="_blank" >RIV/61988987:17310/00:00000037 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary Heuristics vs. Standard Optimization Algorithms

  • Original language description

    The authors compare the reliability of their evolutionary heuristics in finding true global minimum of least squares objective function with the reliability of algorithms used in standard statistical software.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA402%2F00%2F1165" target="_blank" >GA402/00/1165: Modelling of the Regional Labour Market Development</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    COMPSTAT 2000, Proceedings in Computational Statistics, Short Communications and Posters

  • ISBN

    0253-018X

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    Statistics Netherlands

  • Place of publication

    Utrecht

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article