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Simulation optimizer used for testing optimization methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F16%3A43931501" target="_blank" >RIV/49777513:23210/16:43931501 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulation optimizer used for testing optimization methods

  • Original language description

    The paper deals with the developed simulation optimizer used for testing different optimization methods on discrete simulation models and testing functions. Various modified heuristic (metaheuristic) optimization methods - Random Search, Downhill Simplex, Hill Climbing, Tabu Search, Local Search, Simulated Annealing, Evolution Strategy; Differential Evolution and Self Organizing Migrating Algorithm - are implemented in the proposed simulation optimizer. The simulation optimizer can also be remotely controlled by an application using client - server architecture. The architecture Client - Server was chosen to accelerate the testing of a large number of different settings of the implemented heuristic optimization methods. Furthermore, we developed an application that automatically evaluates the success of finding the optimum by the optimization methods and other evaluation criteria.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/LO1502" target="_blank" >LO1502: Development of Regional Technological Institute</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth

  • ISBN

    978-0-9860419-8-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    17

  • Pages from-to

    1429-1445

  • Publisher name

    International Business Information Management Association - IBIMA

  • Place of publication

    Norristown

  • Event location

    Seville, Spain

  • Event date

    Nov 9, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000392785700146