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A Comparison of Control-Parameter-Free Algorithms for Single-Objective Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F10%3AA1100YDE" target="_blank" >RIV/61988987:17610/10:A1100YDE - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Comparison of Control-Parameter-Free Algorithms for Single-Objective Optimization

  • Original language description

    Five self-adaptive algorithms for single-objective optimization are compared on six benchmark functions at three levels of problem dimension (dimension levels are 5, 10, and 30, resp.). The performance of the algorithms differs very significantly both inthe reliability of the search and in time demands. The variants of differential evolution with a competitive self-adaptive mechanism appear as the best preforming algorithms on these benchmark problems. The recommendations for the use of algorithms in real-world problems are derived from the experimental results.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • 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 2010, 16th International Conferenc e on Soft Computing

  • ISBN

    978-80-214-4120-0

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    University of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 23, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000288144100011