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Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F09%3AA1000XLX" target="_blank" >RIV/61988987:17610/09:A1000XLX - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library

  • Original language description

    The aim of this library is to make new self-adaptive stochastic algorithms accessible for potential users and facilitate the use of the self-adaptive algorithms in practical problems. The self-adaptation of the algorithms means that the user need not setup their control parameters by preliminary trial-and-error numerical experiment (common practice in the applications of standard stochastic algorithms), but he can use the default control-parameter settings.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

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>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    UNGOLIB

  • Technical parameters

    Josef Tvrdík, KIP PřF OU, 30. dubna 22, 703 00 Ostrava, tel. 597092183, josef.tvrdik@osu.cz

  • Economical parameters

  • Owner IČO

    61988987

  • Owner name

    Ostravskáuniverzita v Ostravě