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DISH Solving the GNBG-generated Test Suite

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F24%3A63588098" target="_blank" >RIV/70883521:28140/24:63588098 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3638530.3664052" target="_blank" >http://dx.doi.org/10.1145/3638530.3664052</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3638530.3664052" target="_blank" >10.1145/3638530.3664052</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DISH Solving the GNBG-generated Test Suite

  • Original language description

    This paper presents an extended abstract describing an entry into the benchmarking competition on a new GNBG-generated Test Suite. We are presenting the results of our previously published Distance based parameter adaptation for Success-History based Differential Evolution (DISH) algorithm based on state of the art adaptive differential evolution variants. The key feature of our algorithm is a prolonged exploration due to an updated weighting scheme for control parameter adaptation. The results show that our contestant is able to locate the global optima on 12 out of the 24 test functions.

  • 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

    <a href="/en/project/GF21-45465L" target="_blank" >GF21-45465L: Metaheuristic-based parametric optimization of time-delay models and control systems</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion

  • ISBN

    979-8-4007-0495-6

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    19-20

  • Publisher name

    Association for Computing Machinery, Inc

  • Place of publication

    New York

  • Event location

    Melbourne

  • Event date

    Jul 14, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article