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Differential EvolutionAlgorithm in Models of Technical Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F21%3A00009457" target="_blank" >RIV/46747885:24510/21:00009457 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.7148/2021-0179" target="_blank" >https://doi.org/10.7148/2021-0179</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7148/2021" target="_blank" >10.7148/2021</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Differential EvolutionAlgorithm in Models of Technical Optimization

  • Original language description

    At present, evolutionary optimization algorithms are increasingly used in the development of new technological processes. Evolutionary algorithms often allow the optimization procedure to be performed even in cases where classical optimization algorithms fail (e.g. gradient methods) and where an acceptable solution is sufficient to solve the optimization task. The article focuses on possibilities of using a differential evolution algorithm in the optimization process. This algorithm is often referred to in the literature as a global optimization procedure. However, we show by means of a practical example that the convergence of the classic differential algorithm to the global extreme is not generally assured and is largely dependent on the specific cost function. To remove this weakness, we designed a modified version of the differential evolution algorithm. The improved version, named the modified differential evolution algorithm, is described in the article. It is possible to prove asymptotic convergence to the global minimum of the cost function for the modified version of the algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Communications of the ECMS , Volume 35, Issue 1, June 2021

  • ISBN

    978-3-937436-72-2

  • ISSN

    2522-2422

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    179-184

  • Publisher name

    Communications of the ECMS , Volume 35, Issue 1, June 2021

  • Place of publication

    United Kingdom

  • Event location

    on-line

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article