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A Comparison Study of Differential Migration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63505747" target="_blank" >RIV/70883521:28140/07:63505747 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Comparison Study of Differential Migration

  • Original language description

    This paper brings a comparison study of Differential Migration (DM) - a new algorithm of global optimization. Performance of DM and sensitivity to parameter changes is presented and the results are compared with standard algorithms of this type - Differential Evolution and SOMA (Self-Organizing Migration Algorithm). As benchmarks standard test functions are used and real world application is simulated by optimization of artificial neural network.

  • Czech name

    Srovnávací studie diferenciální migrace

  • Czech description

    Příspěvek porovnává nový algoritmus pro globální optimalizaci diferenciální migraci (DM) s existujícími algoritmy tohoto typu. Je provedeno srovnání kvality algoritmu a citlivost na změnu parametrů s diferenciální evolucí a algoritmem SOMA (Self-Organizing Migration Algorithm). Jako benchmark byly použity standardní testovací funkce a optimalizace neuronové sítě představující reálnou aplikaci.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • 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 18th DAAAM Symposium "Intelligent Manufacturing & Automation: Focus on Creativity, Responsibility, and Ethics of Engineers"

  • ISBN

    3-901509-58-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    219

  • Publisher name

    DAAAM International Vienna

  • Place of publication

    Vienna

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article