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Matlab Program Library for Box-Costrained Global Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F07%3AA1000HKP" target="_blank" >RIV/61988987:17610/07:A1000HKP - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Matlab Program Library for Box-Costrained Global Optimization

  • Original language description

    This paper describes the self-adaptive stochastic algorithms for the global optimization over ontinuous space with box onstraints. Two of the implemented algorithms solve the problem of parameter estimation in nonlinear regression model. Several self-adaptive algorithms are included into Matlab program library. This program library is free software, any user of Matlab can use and/or modify it under the terms of the GNU General Public License.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F05%2F0284" target="_blank" >GA201/05/0284: Evolutionary algorithms with competing and cooperating heuristics</a><br>

  • 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

    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

    APLIMAT 2007

  • ISBN

    978-80-969562-4-1

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Slovenská technická univerzita

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    Feb 6, 2007

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article