Journal ArticleDOI
Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function
Reads0
Chats0
TLDR
It is shown that the gradient-enhanced GHBF proposed in this paper is very promising and can be used to significantly improve the efficiency, accuracy and robustness of VFM in the context of aero-loads prediction.About:
This article is published in Aerospace Science and Technology.The article was published on 2013-03-01. It has received 313 citations till now. The article focuses on the topics: Surrogate model & Kriging.read more
Citations
More filters
Proceedings ArticleDOI
Comparison of Unifed and Sequential-Approximate Approaches to Multifdelity Optimization
Journal ArticleDOI
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Yixiang Deng,Guang Lin,Xiu Yang +2 more
TL;DR: In this paper, the authors proposed a data fusion method based on multi-fidelity Gaussian process regression (GPR) framework, which combines available data of the quantity of interest (QoI) and its gradients with different fidelity levels.
Journal ArticleDOI
Robust Design of Transonic Natural Laminar Flow Wings Under Environmental and Operational Uncertainties
TL;DR: In this paper , a robust direct design of transonic natural laminar flow wings using state-of-the-art industrial tools such as computational fluid dynamics, linear stability theory, and surrogate models is presented.
Journal ArticleDOI
Gradient-Enhanced Hierarchical Kriging Model for Aerodynamic Design Optimization
TL;DR: A cokriging model incorporating gradient information and the function value of sample points can reduce the computational cost with a given level of accuracy.
References
More filters
Journal ArticleDOI
The design and analysis of computer experiments
TL;DR: This paper presents a meta-modelling framework for estimating Output from Computer Experiments-Predicting Output from Training Data and Criteria Based Designs for computer Experiments.
Journal ArticleDOI
Principles of geostatistics
TL;DR: In this article, the authors present a new science leading to such an approach, namely geostatistics, which is a new approach for estimating the estimation of ore grades and reserves.
Journal Article
A statistical approach to some basic mine valuation problems on the Witwatersrand
TL;DR: In this paper, the application of the lognormal curve to the frequency distribution of gold values is discussed, and some fundamental concepts in application of statistics to mine valuation on the Witwatersrand are discussed.
Journal ArticleDOI
Recent advances in surrogate-based optimization
TL;DR: The present state of the art of constructing surrogate models and their use in optimization strategies is reviewed and extensive use of pictorial examples are made to give guidance as to each method's strengths and weaknesses.
Journal ArticleDOI
A Trust Region Framework for Managing the Use of Approximation Models in Optimization
TL;DR: An analytically robust, globally convergent approach to managing the use of approximation models of varying fidelity in optimization, based on the trust region idea from nonlinear programming, which is shown to be provably convergent to a solution of the original high-fidelity problem.
Related Papers (5)
Efficient Global Optimization of Expensive Black-Box Functions
Predicting the output from a complex computer code when fast approximations are available
Marc C. Kennedy,Anthony O'Hagan +1 more