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Using Kernel Principal Component Analysis in Evolutionary Algorithms as an Efficient Multi-Parent Crossover Operator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099362" target="_blank" >RIV/68407700:21230/04:03099362 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Kernel Principal Component Analysis in Evolutionary Algorithms as an Efficient Multi-Parent Crossover Operator

  • Original language description

    The article describes a new method for parental crossover based on KPCA. From the parent population non-linear features are extracted, the population is transformed to a new space; new individuals are randomly sampled in this space and are transformed back to original space. This approach seems to be verz efficient for small groups of highly dependant variables.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • 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

    IEEE 4th International Conference on Intelligent Systems Design and Application

  • ISBN

    963-7154-29-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    25-30

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Budapest

  • Event date

    Aug 26, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article