Journal ArticleDOI
Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function
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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
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Journal ArticleDOI
Identification of source information for sudden water pollution incidents in rivers and lakes based on variable-fidelity surrogate-DREAM optimization
TL;DR: A variable-fidelity surrogate-differential evolution adaptive metropolis optimization (DREAM) optimization model for coupled inversion process is established in the posterior space of the pollution source and effectively improves the computational efficiency of the traditional method for obtaining the source information of sudden water pollution events.
Journal ArticleDOI
Multi-fidelity surrogate models for flutter database generation
TL;DR: Once an accurate MFS model of critical flutter dynamic pressures is constructed, it can be used for evaluating a large number of designs for design space exploration as well as of Monte-Carlo samples for uncertainty quantification.
Proceedings ArticleDOI
Variable-Fidelity Aerodynamic Design Using Gradient-Enhanced Kriging Surrogate Model with Regression
Youngmin Jo,Seongim Choi +1 more
TL;DR: The purpose of the current work is to develop efficient and yet accurate design optimization framework using variable-fidelity aerodynamic analysis using the Kriging surrogate model-based EGO design framework.
Journal ArticleDOI
Multifidelity Quasi-Newton Method for Design Optimization
TL;DR: Multifidelity approaches are frequently used in design when high-fidelity models are too expensive to use directly and lower-f fidelity models of reasonable accuracy exist.
References
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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.
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