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Comparison of Optimization Methods Efficiency in Different Dimensions of the Search Space of Simulation Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F15%3A43926864" target="_blank" >RIV/49777513:23210/15:43926864 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Optimization Methods Efficiency in Different Dimensions of the Search Space of Simulation Models

  • Original language description

    The paper deals with the comparison of selectedoptimization methods - Random Search, Hill Climbing,Tabu Search, Local Search, Downhill Simplex,Simulated Annealing, Differential Evolution, SOMA and Evolution Strategy - efficiency used for optimization offour selected testing functions. We tested these optimization methods on differentdimensions of the search space to compare theirefficiency of finding the global optimum in the searchspace.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The 27th European Modeling &amp; Simulation Symposium 2015

  • ISBN

    978-88-97999-48-5

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    181-190

  • Publisher name

    DIME Universita of Genova

  • Place of publication

    Genova

  • Event location

    Bergeggi, Itálie

  • Event date

    Sep 21, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article