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Evaluation of a self-organizing migrating algorithm applied to discrete event simulation optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F19%3A43956884" target="_blank" >RIV/49777513:23210/19:43956884 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.msc-les.org/proceedings/emss/2019/EMSS2019.pdf" target="_blank" >http://www.msc-les.org/proceedings/emss/2019/EMSS2019.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of a self-organizing migrating algorithm applied to discrete event simulation optimization

  • Original language description

    The paper deals with testing and evaluation of a modified Self-Organizing Migrating Algorithm (SOMA) applied to a discrete event simulation model reflecting the supply of production lines using automated guided vehicles. The SOMA heuristic optimization method is derived from the Differential Evolution method. We test all the SOMA strategies under the same conditions of the simulation experiments - the same termination criteria, number of repetitions in the optimization experiments, and the same setting of the basic parameters of the SOMA. We propose a methodology using different evaluation criteria to analyse the different SOMA strategies behaviour of finding the optimum of an objective function specified for each discrete event simulation model.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    31st European Modeling and Simulation Symposium, EMSS 2019

  • ISBN

    978-88-85741-26-3

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    332-341

  • Publisher name

    Dime University of Genova

  • Place of publication

    Genova

  • Event location

    Lisabon

  • Event date

    Sep 18, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article