Methodology for Evaluating Optimization Experiments

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Methodology for Evaluating Optimization Experiments
Original language description
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.
Czech name
—
Czech description
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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)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
32st European Modeling and Simulation Symposium, EMSS 2020
ISBN
978-88-85741-44-7
ISSN
2724-0029
e-ISSN
—
Number of pages
12
Pages from-to
50-61
Publisher name
Dime University of Genova
Place of publication
Genova
Event location
Athens, GREECE
Event date
Sep 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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