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Distribution Tree-Building Real-Valued Evolutionary Algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099835" target="_blank" >RIV/68407700:21230/04:03099835 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distribution Tree-Building Real-Valued Evolutionary Algorithm

  • Original language description

    The article describes a new model of probability density function called distribution tree. The utility of such a model is demonstrated in evolutionary algorithms and its efficiency is compared to other optimization techniques on several reference problems. Despite its simplicity the model showed to be very efficient for several problems and its structure forms a solid basis for creating even better models.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F02%2F0132" target="_blank" >GA102/02/0132: Use of genetic principles in evolutionary algorithms</a><br>

  • Continuities

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

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Parallel Problem Solving from Nature - PPSN VIII

  • ISBN

    3-540-23092-0

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    372-381

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Birmingham

  • Event date

    Sep 18, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article