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DISH-XX solving CEC2020 single objective bound constrained numerical optimization benchmark

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63526747" target="_blank" >RIV/70883521:28140/20:63526747 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9185633" target="_blank" >https://ieeexplore.ieee.org/document/9185633</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC48606.2020.9185633" target="_blank" >10.1109/CEC48606.2020.9185633</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DISH-XX solving CEC2020 single objective bound constrained numerical optimization benchmark

  • Original language description

    This paper proposes a competitor to the CEC2020 single objective bound constrained numerical optimization competition - DISH-XX. The DISH-XX algorithm is based on its 2019 predecessor DISH. The main difference lies in the secondary crossover with the archive of historically best-found solutions. The results of the DISH-XX algorithm are presented in the competition specified format and the statistical comparison between DISH-XX and the original DISH is also presented as part of this paper. © 2020 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  • ISBN

    978-172816929-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    "nestrankovano"

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Glasgow

  • Event date

    Jul 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article