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Convergence Rate of the Modified Differential Evolution Algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00005017" target="_blank" >RIV/46747885:24220/17:00005017 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24510/17:00005017

  • Result on the web

    <a href="https://aip.scitation.org/doi/abs/10.1063/1.5013964" target="_blank" >https://aip.scitation.org/doi/abs/10.1063/1.5013964</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/1.5013964" target="_blank" >10.1063/1.5013964</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Convergence Rate of the Modified Differential Evolution Algorithm

  • Original language description

    Differential evolution algorithms represent an efficient framework to solve complicated optimization tasks with many variables and complex constraints. Nevertheless, the classic differential evolution algorithm does not guarantee the convergence to the global minimum of the cost function. Therefore, the authors developed a modification of this algorithm that ensures asymptotic global convergence. The article provides a comparison of the ability to identify the global minimum of the cost function for the following three algorithms: the classic differential evolution algorithm, the above mentioned modified differential evolution algorithm and an algorithm of random sampling enhanced by a hill climbing procedure. We designed a series of numerical experiments to perform this comparison. The results indicate that the classic differential evolution algorithm is in general an extremely poor global optimizer (global minimum found in 2% of cases). On the other hand the performance of the modified differential evolution algorithm was considerably better (global minimum found in 83% of cases).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AIP Conference Proceedings 1910, 030005 (2017)

  • ISBN

    978-0-7354-1602-4

  • ISSN

    0094-243X

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    AMER INST PHYSICS, 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA

  • Place of publication

    USA

  • Event location

    Sozopol, BULGARIA

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000423866900027