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Population-size adaptation through diversity-control mechanism for differential evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701H21" target="_blank" >RIV/61988987:17610/16:A1701H21 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Population-size adaptation through diversity-control mechanism for differential evolution

  • Original language description

    A new method of the population-size adaptation for differential evolution (DE) is proposed. The adaptation is based on decreasing or increasing the population size in dependence on the current measure of the population diversity. The proposed method was implemented to six DE variants using a fixed population size in their original versions. The DE variants for experimental comparison were selected from the set of the state-of-the-art algorithms as well as from the well-performing variants that have appeared in literature recently. Experimental comparison was carried out on the CEC 2014 benchmark suite at three levels of problem dimension. The results of the experimental comparison demonstrate the benefit provided by the application of the proposed adaptive mechanism for the performance of the algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2016 22nd International Conference on Soft Computing

  • ISBN

    9788021453654

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    49-56

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 8, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article