Model guided sampling optimization with gaussian processes for expensive black-box optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00394260" target="_blank" >RIV/67985807:_____/13:00394260 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2464576.2480794" target="_blank" >http://dx.doi.org/10.1145/2464576.2480794</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2464576.2480794" target="_blank" >10.1145/2464576.2480794</a>

Result language
angličtina
Original language name
Model guided sampling optimization with gaussian processes for expensive black-box optimization
Original language description
Model Guided Sampling Optimization (MGSO) is a novel expensive black-box optimization method based on a combination of ideas from Estimation of Distribution Algorithms and global optimization methods using Gaussian Processes. The algorithm is described and its implementation tested on three benchmark functions as a proof of concept.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
GECCO Companion '13. Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion
ISBN
978-1-4503-1964-5
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1715-1716
Publisher name
ACM
Place of publication
New York
Event location
Amsterdam
Event date
Jul 6, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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