A comparative study of expected improvement-assisted global optimization with different surrogates-Reference-Cited by-同舟云学术

A comparative study of expected improvement-assisted global optimization with different surrogates

Published:2015-12-28 Issue:8 Volume:48 Page:1432-1458
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Hu¹,Ye Fan¹,Li Enying²,Li Guangyao¹

Affiliation:

1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, PR China

2. School of Logistics, Central South University of Forestry and Teleology, Changsha, P.R. China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2015.1115645

Reference49 articles.

1. Approximation concepts for optimum structural design — a review

2. Analysis of Support Vector Regression for Approximation of Complex Engineering Analyses

3. Surrogate-based infill optimization applied to electromagnetic problems

4. The correct Kriging variance estimated by bootstrapping

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