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jSO and GWO Algorithms Optimize Together

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F22%3AA0001031" target="_blank" >RIV/47813059:19240/22:A0001031 - isvavai.cz</a>

  • Result on the web

    <a href="https://ceur-ws.org/Vol-3226/paper18.pdf" target="_blank" >https://ceur-ws.org/Vol-3226/paper18.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    jSO and GWO Algorithms Optimize Together

  • Original language description

    This paper deals with global optimization. There are many algorithms for global optimization in the literature. In this text, we focus on two effective optimizers. The first one is an adaptive version of Differential evolution algorithm which was the most successful version of the algorithm on CEC 2014 congress and is called the jSO algorithm. The second one is the Grey wolf optimizer which was introduced in 2014. We propose new algorithm cooperation in which both of these algorithms are used together to get better results when optimization problems are being solved. In our attempt, both algorithms take turns making the optimization process. We tested the proposed algorithm on four multi-modal functions on two levels of dimension. The results are quite promising.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    22nd Conference Information Technologies - Applications and Theory, ITAT 2022

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    159-166

  • Publisher name

    CEUR-WS

  • Place of publication

    Slovensko

  • Event location

    Zuberec, Slovensko

  • Event date

    Sep 23, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article