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

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JR - Other machinery industry

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

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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Number of pages

12

Pages from-to

3104-3115

Publisher name

International Business Information Management Association

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

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