Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion-Reference-Cited by-同舟云学术

Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion

Published:2011 Issue: Volume: Page:176-190
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Benassi Romain,Bect Julien,Vazquez Emmanuel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-25566-3_13

Reference33 articles.

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4. Conn, A.R., Scheinberg, K., Vicente, L.N.: Introduction to derivative-free optimization. SIAM, Philadelphia (2009)

5. Tenne, Y., Goh, C.K.: Computational intelligence in optimization: applications and implementations. Springer, Heidelberg (2010)

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