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Investigation on the Performance of a New Multiple Choice Strategy for PSO Algorithm in the task of Large Scale Optimization Problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870053" target="_blank" >RIV/70883521:28140/13:43870053 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6557805" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6557805</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC.2013.6557805" target="_blank" >10.1109/CEC.2013.6557805</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigation on the Performance of a New Multiple Choice Strategy for PSO Algorithm in the task of Large Scale Optimization Problems

  • Original language description

    In this paper, a novel strategy for particle swarm optimization is presented and investigated over its ability to improve the performance of PSO algorithm in the task of large scale optimization problems. This proposed strategy alters the way the velocity of each particle is determined. Promising results of this innovative strategy are presented in the results section and briefly analyzed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2013 IEEE Congress on Evolutionary Computation, CEC 2013

  • ISBN

    978-1-4799-0454-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    2007-2011

  • Publisher name

    IEEE

  • Place of publication

    Boston

  • Event location

    Cancún

  • Event date

    Jun 20, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000326235302002