Towards Low-Dimensional Gaussian Process Metamodels for CMA-ES

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00432404" target="_blank" >RIV/67985807:_____/14:00432404 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Towards Low-Dimensional Gaussian Process Metamodels for CMA-ES
Original language description
Gaussian processes and kriging models has attracted attention of researchers from different areas of black-box optimization, especially since Jones? introduction of the Efficient Global Optimization (EGO) algorithm. However, current implementations of the EGO or real-world applications are rather few. We conjecture that the EGO is not suitable for higher-dimensional optimization and try to investigate whether hybridization of a low-dimensional local optimization with the current state-of-the-art continuous black-box optimizer CMA-ES (Covariance Matrix Adaptation Evolution Strategy) could help. In this paper, only a first proposal of such a GP/CMA-ES connection is described and some preliminary tests are presented.
Czech name
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Czech description
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Project
<a href="/en/project/GA13-17187S" target="_blank" >GA13-17187S: Constructing Advanced Comprehensible Classifiers</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ITAT 2014. Information Technologies - Applications and Theory. Part II
ISBN
978-80-87136-19-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
33-37
Publisher name
Institute of Computer Science AS CR
Place of publication
Prague
Event location
Demänovská dolina
Event date
Sep 25, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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