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%3A43958146" target="_blank" >RIV/49777513:23210/19:43958146 - isvavai.cz</a>
Result on the web
<a href="http://ieomsociety.org/pilsen2019/papers/91.pdf" target="_blank" >http://ieomsociety.org/pilsen2019/papers/91.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
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 different discrete event simulation models. These models are focused on real problems in industrial companies. The SOMA heuristic optimization method is derived from the Differential Evolution method, which is effective for different dimensional search spaces of the simulation models. We specify the ranges of each algorithm parameter and test all the possible combinations of settings of the algorithm within the specified ranges. We repeat the simulation optimization experiments to reduce the random behaviour of the algorithm. We propose a methodology using different evaluation criteria to analyse the SOMA behaviour of finding the optimum of an objective function specified for each discrete event simulation model.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of the International Conference on Industrial Engineering and Operations Management
ISBN
978-1-5323-5949-1
ISSN
2169-8767
e-ISSN
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Number of pages
12
Pages from-to
269-280
Publisher name
IEOM Society International
Place of publication
Pilsen
Event location
Pilsen, Czech Republic
Event date
Jul 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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