All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Adaptation of Population Size According to Current Population Diversity in Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801ORO" target="_blank" >RIV/61988987:17610/17:A1801ORO - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptation of Population Size According to Current Population Diversity in Differential Evolution

  • Original language description

    A new mechanism for the adaptation of population size in differential evolution (DE) is described and applied to CEC 2014 test suite. The adaptive mechanism is based on linear reduction of the population diversity and enables both decreasing and increasing the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is compared. Moreover, this new mechanism is also compared with the linear reduction of population size used in L-SHADE and its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of efficiency occurs rarely.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings

  • ISBN

    978-1-5386-2725-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    2627-2634

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, USA

  • Event location

    Honolulu

  • Event date

    Nov 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article