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Particle swarm optimization with distance based repulsivity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63524576" target="_blank" >RIV/70883521:28140/18:63524576 - isvavai.cz</a>

  • Result on the web

    <a href="https://mendel-journal.org/index.php/mendel/article/view/21/16" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/21/16</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/mendel.2018.2.081" target="_blank" >10.13164/mendel.2018.2.081</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Particle swarm optimization with distance based repulsivity

  • Original language description

    In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • 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

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mendel

  • ISSN

    1803-3814

  • e-ISSN

  • Volume of the periodical

    2018, 24

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    81-86

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85071969266