Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

Optimization of expensive black-box problems via Gradient-enhanced Kriging

(2020) Liming Chen et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A generalized hierarchical co-Kriging model for multi-fidelity data fusion

(2020) Qi Zhou et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An active-learning method based on multi-fidelity Kriging model for structural reliability analysis

(2020) Jiaxiang Yi et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

MOGPTK: The multi-output Gaussian process toolkit

(2020) Taco de Wolff et al.   NEUROCOMPUTING

Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach

(2020) Raed Kontar et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids

(2019) Zhonghua Han et al.   Chinese Journal of Aeronautics

Multi-fidelity uncertainty propagation using polynomial chaos and Gaussian process modeling

(2019) Fenggang Wang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems

(2019) Qi Zhou et al.   ENGINEERING WITH COMPUTERS

Linear regression-based multifidelity surrogate for disturbance amplification in multiphase explosion

(2019) M. Giselle Fernández-Godino et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Gaussian Process Regression for numerical wind speed prediction enhancement

(2019) Haoshu Cai et al.   RENEWABLE ENERGY

Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method

(2018) Haitao Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Remarks on multi-output Gaussian process regression

(2018) Haitao Liu et al.   KNOWLEDGE-BASED SYSTEMS

A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems

(2018) Liming Chen et al.   APPLIED MATHEMATICAL MODELLING

Metamodeling for high dimensional design problems by multi-fidelity simulations

(2017) Xiwen Cai et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

SU2: An Open-Source Suite for Multiphysics Simulation and Design

(2016) Thomas D. Economon et al.   AIAA JOURNAL

Power in Simplicity with ASM: Tracing the Aggressive Space Mapping Algorithm Over Two Decades of Development and Engineering Applications

(2016) Jose E. Rayas-Sanchez   IEEE MICROWAVE MAGAZINE

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis

(2015) Robert Durichen et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function

(2012) Zhong-Hua Han et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling

(2012) Zhong-Hua Han et al.   AIAA JOURNAL

Space-filling Latin hypercube designs for computer experiments

(2010) Bart G. M. Husslage et al.   OPTIMIZATION AND ENGINEERING

JADE: Adaptive Differential Evolution With Optional External Archive

(2009) Jingqiao Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION