Testing Gaussian Process Surrogates on CEC’2013 Multi-Modal Benchmark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00462910" target="_blank" >RIV/67985807:_____/16:00462910 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/16:10334233
Result on the web
<a href="http://ceur-ws.org/Vol-1649/138.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/138.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Testing Gaussian Process Surrogates on CEC’2013 Multi-Modal Benchmark
Original language description
This paper compares several Gaussian-processbased surrogate modeling methods applied to black-box optimization by means of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), which is considered state-of-the-art in the area of continuous black-box optimization. Among the compared methods are the Modelassisted CMA-ES, the Robust Kriging Metamodel CMAES, and the Surrogate CMA-ES. In addition, a very successful surrogate-assisted self-adaptive CMA-ES, which is not based on Gaussian processes, but on ordinary regression by means of support vector machines has been included into the comparison. Those methods have been benchmarked using CEC’2013 testing functions. We show that the surrogate CMA-ES achieves best results at the beginning and later phases of optimization process, conceding in the middle to surrogate-assisted CMA-ES.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
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 ITAT 2016: Information Technologies - Applications and Theory
ISBN
978-1-5370-1674-0
ISSN
1613-0073
e-ISSN
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Number of pages
9
Pages from-to
138-146
Publisher name
Technical University & CreateSpace Independent Publishing Platform
Place of publication
Aachen & Charleston
Event location
Tatranské Matliare
Event date
Sep 15, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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