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An Evaluative Study of Adaptive Control of Population Size in Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA2002001" target="_blank" >RIV/61988987:17310/19:A2002001 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-20912-4_39" target="_blank" >http://dx.doi.org/10.1007/978-3-030-20912-4_39</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-20912-4_39" target="_blank" >10.1007/978-3-030-20912-4_39</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Evaluative Study of Adaptive Control of Population Size in Differential Evolution

  • Original language description

    In this paper, a newly proposed setting of a diversity-based adaptive mechanism of population size setting in differential evolution (DE) is experimentally studied. Seven state-of-the-art adaptive DE variants and classic DE are used in the experiments where 22 real-world problems are solved. The obtained results are assessed by statistical tests. The diversity-based approach often performs substantially better compared with the original fixed population size setting or linearly decreasing population size. A newly proposed setting of the control parameter performs at least the same or better than the original setting.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Artificial Intelligence 11508

  • ISBN

    978-3-030-20911-7

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    11

  • Pages from-to

    421-431

  • Publisher name

    Springer

  • Place of publication

    Cham, Switzerland

  • Event location

    Zakopane, Polsko

  • Event date

    Jun 16, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article