Comparison of Selected Optimization Methods Used for Discrete Event Simulation Models and Testing Functions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F13%3A43919535" target="_blank" >RIV/49777513:23210/13:43919535 - isvavai.cz</a>
Result on the web
<a href="http://www.scientific.net/AMR.816-817.629" target="_blank" >http://www.scientific.net/AMR.816-817.629</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4028/www.scientific.net/AMR.816-817.629" target="_blank" >10.4028/www.scientific.net/AMR.816-817.629</a>

Result language
angličtina
Original language name
Comparison of Selected Optimization Methods Used for Discrete Event Simulation Models and Testing Functions
Original language description
The paper deals with the comparison of selected optimization methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy-used to search for the global optimum ofthe objective function specified for each simulation model. These optimization methods have to be modified in such a way that they are applicable for discrete event simulation optimization purposes. Three discrete event simulation models were built (using ARENA simulation software) which reflect real industrial systems. Then the optimization methods were tested on four testing functions. The evaluation method which uses information from the box plot characteristics was specified.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JR - Other machinery industry
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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