Methodology for Evaluating Optimization Experiments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F20%3A43960227" target="_blank" >RIV/49777513:23210/20:43960227 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.cal-tek.eu/proceedings/i3m/2020/emss/008/pdf" target="_blank" >https://www.cal-tek.eu/proceedings/i3m/2020/emss/008/pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.46354/i3m.2020.emss.008" target="_blank" >10.46354/i3m.2020.emss.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Methodology for Evaluating Optimization Experiments

Popis výsledku v původním jazyce

The paper deals with a proposal of the methodology for the evaluation of optimization experiments performed on simulation models (discrete event simulation models and Bin Packing Problem) focused on various problems in the industrial engineering. We created the application evaluating simulation optimization experiments carried out a simulation optimizer to validate the proposed methodology. The first goals is to evaluate the behaviour of tested optimization methods – evaluate series of optimization experiments (replicated simulation optimization experiments) with different settings of the optimization algorithms according to different characteristics of the optimization (e.g. efficiency of finding a global optimum, quality of a found solution, speed of finding an optimum etc.). The next gaol is to evaluate the difficulty of the simulation optimization - to determine the relative frequencies of the tested objective functions values of different simulation models for different intervals. The objective function represents the quality of possible solution in the n-dimensional search space for the tested simulation model.

Název v anglickém jazyce

Methodology for Evaluating Optimization Experiments

Popis výsledku anglicky

The paper deals with a proposal of the methodology for the evaluation of optimization experiments performed on simulation models (discrete event simulation models and Bin Packing Problem) focused on various problems in the industrial engineering. We created the application evaluating simulation optimization experiments carried out a simulation optimizer to validate the proposed methodology. The first goals is to evaluate the behaviour of tested optimization methods – evaluate series of optimization experiments (replicated simulation optimization experiments) with different settings of the optimization algorithms according to different characteristics of the optimization (e.g. efficiency of finding a global optimum, quality of a found solution, speed of finding an optimum etc.). The next gaol is to evaluate the difficulty of the simulation optimization - to determine the relative frequencies of the tested objective functions values of different simulation models for different intervals. The objective function represents the quality of possible solution in the n-dimensional search space for the tested simulation model.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/LO1502" target="_blank" >LO1502: Rozvoj Regionálního technologického institutu</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

32st European Modeling and Simulation Symposium, EMSS 2020

ISBN

978-88-85741-44-7

ISSN

2724-0029

e-ISSN

—

Počet stran výsledku

12

Strana od-do

50-61

Název nakladatele

Dime University of Genova

Místo vydání

Genova

Místo konání akce

Athens, GREECE

Datum konání akce

16. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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