Comparison of Optimization Methods Efficiency in Different Dimensions of the Search Space of Simulation Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F15%3A43926864" target="_blank" >RIV/49777513:23210/15:43926864 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Optimization Methods Efficiency in Different Dimensions of the Search Space of Simulation Models
Original language description
The paper deals with the comparison of selectedoptimization methods - Random Search, Hill Climbing,Tabu Search, Local Search, Downhill Simplex,Simulated Annealing, Differential Evolution, SOMA and Evolution Strategy - efficiency used for optimization offour selected testing functions. We tested these optimization methods on differentdimensions of the search space to compare theirefficiency of finding the global optimum in the searchspace.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JR - Other machinery industry
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 27th European Modeling & Simulation Symposium 2015
ISBN
978-88-97999-48-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
181-190
Publisher name
DIME Universita of Genova
Place of publication
Genova
Event location
Bergeggi, Itálie
Event date
Sep 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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