Testing the frequency of using the database records of discrete event simulation model input parameters during the simulation optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F16%3A43931074" target="_blank" >RIV/49777513:23210/16:43931074 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Testing the frequency of using the database records of discrete event simulation model input parameters during the simulation optimization

Popis výsledku v původním jazyce

The paper deals with testing the frequency of using the database records of discrete event simulation model input parameters during the simulation optimization. We developed a simulation optimizer using the Server-Client architecture used for testing the behaviour of different optimization methods on discrete event simulation models. The server simulation optimizer reads and writes records (the settings of the simulation model input parameters and its objective function value) to internal and external databases. The data sent to the external database are encrypted. If the simulation optimizer wants to perform the simulation run with the concrete settings of the simulation model it searches for these concrete settings in the local database first. If this record is not found, the optimizer searches the external database. If the external database contains these settings of the simulation model and the objective function optimizer, it downloads these encrypted data and decrypts them. We implemented modified pseudo-gradient heuristic methods - Hill Climbing, Tabu Search, Local Search - to analyse their behaviour of searching for the global optimum in the defined Search Space. We tested different settings to reduce the impact of incorrect settings. We also replicated the optimization experiment at least five times to reduce the random nature of the selected optimization methods. We calculated the percentages of the relative frequencies of objective function values belonging to smaller calculated intervals on different discrete event simulation models.

Název v anglickém jazyce

Testing the frequency of using the database records of discrete event simulation model input parameters during the simulation optimization

Popis výsledku anglicky

The paper deals with testing the frequency of using the database records of discrete event simulation model input parameters during the simulation optimization. We developed a simulation optimizer using the Server-Client architecture used for testing the behaviour of different optimization methods on discrete event simulation models. The server simulation optimizer reads and writes records (the settings of the simulation model input parameters and its objective function value) to internal and external databases. The data sent to the external database are encrypted. If the simulation optimizer wants to perform the simulation run with the concrete settings of the simulation model it searches for these concrete settings in the local database first. If this record is not found, the optimizer searches the external database. If the external database contains these settings of the simulation model and the objective function optimizer, it downloads these encrypted data and decrypts them. We implemented modified pseudo-gradient heuristic methods - Hill Climbing, Tabu Search, Local Search - to analyse their behaviour of searching for the global optimum in the defined Search Space. We tested different settings to reduce the impact of incorrect settings. We also replicated the optimization experiment at least five times to reduce the random nature of the selected optimization methods. We calculated the percentages of the relative frequencies of objective function values belonging to smaller calculated intervals on different discrete event simulation models.

Druh

D - Stať ve sborníku

CEP obor

JR - Ostatní strojírenství

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-0-9860419-8-3

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

3104-3115

Název nakladatele

International Business Information Management Association

Místo vydání

Norristown

Místo konání akce

Seville, Spain

Datum konání akce

9. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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