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Why Simple Population Restart Does Not Work in PSO

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522767" target="_blank" >RIV/70883521:28140/19:63522767 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8628801" target="_blank" >https://ieeexplore.ieee.org/document/8628801</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SSCI.2018.8628801" target="_blank" >10.1109/SSCI.2018.8628801</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Why Simple Population Restart Does Not Work in PSO

  • Original language description

    In this study, we present an in-deep study on the poor ability of Particle Swarm Optimization (PSO) to recover from a premature convergence by simple population restart. Despite that, population restart is a popular component of many adaptive metaheuristic methods it has rarely been successfully utilized in PSO. We describe the methodology for basic population restart and observe the population diversity and performance change after the population is restarted.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

  • ISBN

    978-1-5386-9276-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    770-776

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Bangalore

  • Event date

    Nov 18, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article