Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems

A lower confidence bounding approach based on the coefficient of variation for expensive global design optimization

(2019) Ji Cheng et al.   ENGINEERING COMPUTATIONS

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

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

A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem

(2019) Jiachang Qian et al.   ENGINEERING WITH COMPUTERS

A Python surrogate modeling framework with derivatives

(2019) Mohamed Amine Bouhlel et al.   ADVANCES IN ENGINEERING SOFTWARE

Variable-Fidelity Lower Confidence Bounding Approach for Engineering Optimization Problems with Expensive Simulations

(2019) Ping Jiang et al.   AIAA JOURNAL

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

Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis

(2019) Chen Jiang et al.   APPLIED MATHEMATICAL MODELLING

Hull form design optimization of twin-skeg fishing vessel for minimum resistance based on surrogate model

(2018) Yan Lin et al.   ADVANCES IN ENGINEERING SOFTWARE

Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions

(2018) Huachao Dong et al.   APPLIED SOFT COMPUTING

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

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

Gradient-enhanced kriging for high-dimensional problems

(2018) Mohamed A. Bouhlel et al.   ENGINEERING WITH COMPUTERS

Advanced Multi-Objective Robust Optimization under Interval Uncertainty Using Kriging and Support Vector Machine

(2018) Tingli Xie et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions

(2018) Xueguan Song et al.   JOURNAL OF MECHANICAL DESIGN

Low-fidelity scale factor improves Bayesian multi-fidelity prediction by reducing bumpiness of discrepancy function

(2018) Chanyoung Park et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Variable-fidelity expected improvement method for efficient global optimization of expensive functions

(2018) Yu Zhang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Sequential optimization using multi-level cokriging and extended expected improvement criterion

(2018) Yixin Liu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Constrained optimization of black-box stochastic systems using a novel feasibility enhanced Kriging-based method

(2018) Zilong Wang et al.   COMPUTERS & CHEMICAL ENGINEERING

Constraint aggregation for large number of constraints in wing surrogate-based optimization

(2018) Ke-Shi Zhang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Filter-Based Sequential Radial Basis Function Method for Spacecraft Multidisciplinary Design Optimization

(2018) Renhe Shi et al.   AIAA JOURNAL

A general failure-pursuing sampling framework for surrogate-based reliability analysis

(2018) Chen Jiang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models

(2017) Prashant Singh et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

A sequential multi-fidelity metamodeling approach for data regression

(2017) Qi Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling

(2017) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

A robust optimization approach based on multi-fidelity metamodel

(2017) Qi Zhou et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An alternative adaptive differential evolutionary Algorithm assisted by Expected Improvement criterion and cut-HDMR expansion and its application in time-based sheet forming design

(2016) Enying Li et al.   ADVANCES IN ENGINEERING SOFTWARE

A Critical Assessment of Kriging Model Variants for High-Fidelity Uncertainty Quantification in Dynamics of composite Shells

(2016) T. Mukhopadhyay et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

A VF-SLP framework using least squares hybrid scaling for RBDO

(2016) Xiaoke Li et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Remarks on multi-fidelity surrogates

(2016) Chanyoung Park et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

A study into the potential of GPUs for the efficient construction and evaluation of Kriging models

(2015) David J. J. Toal   ENGINEERING WITH COMPUTERS

Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields

(2015) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

(2015) Qi Zhou et al.   SIMULATION MODELLING PRACTICE AND THEORY

Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm

(2014) Yan Liu et al.   APPLIED SOFT COMPUTING

Difference mapping method using least square support vector regression for variable-fidelity metamodelling

(2014) Jun Zheng et al.   ENGINEERING OPTIMIZATION

Improving variable-fidelity modelling by exploring global design space and radial basis function networks for aerofoil design

(2014) Maxim Tyan et al.   ENGINEERING OPTIMIZATION

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

(2014) David J. J. Toal   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY

(2014) Loic Le Gratiet et al.   International Journal for Uncertainty Quantification

Multidisciplinary Unmanned Combat Air Vehicle system design using Multi-Fidelity Model

(2012) Nhu-Van Nguyen et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling

(2012) Zhonghua Han et al.   AIAA JOURNAL

Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling

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

Surrogate-assisted evolutionary computation: Recent advances and future challenges

(2011) Yaochu Jin   Swarm and Evolutionary Computation

Recent advances in surrogate-based optimization

(2009) Alexander I.J. Forrester et al.   PROGRESS IN AEROSPACE SCIENCES

A New Variable-Fidelity Optimization Framework Based on Model Fusion and Objective-Oriented Sequential Sampling

(2008) Ying Xiong et al.   JOURNAL OF MECHANICAL DESIGN

Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments

(2008) Peter Z. G. Qian et al.   TECHNOMETRICS