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A brief survey of differential evolution on Graphic Processing Units

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088869" target="_blank" >RIV/61989100:27240/13:86088869 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SDE.2013.6601456" target="_blank" >http://dx.doi.org/10.1109/SDE.2013.6601456</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SDE.2013.6601456" target="_blank" >10.1109/SDE.2013.6601456</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A brief survey of differential evolution on Graphic Processing Units

  • Original language description

    Differential evolution is an efficient populational meta-heuristic optimization algorithm that has been applied to many difficult real world problems. Due to the relative simplicity of its operations and real encoded data structures, it is suitable for aparallel implementation on multicore systems and on Graphic Processing Units (GPUs) that nowadays reach peak performance of hundreds and thousands of giga FLOPS (floating-point operations per second). This study provides a brief survey of current state-of-the-art research on differential evolution in the GPU environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence

  • ISBN

    978-1-4673-5873-6

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    157-164

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Singapur

  • Event date

    May 16, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article