An adaptive space preselection method for the multi-fidelity global optimization

Multi‐fidelity surrogate reduced‐order modeling of steady flow estimation

(2020) Xu Wang et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

An active learning multi-fidelity metamodeling method based on the bootstrap estimator

(2020) Yuda Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Development of an efficient global optimization method based on adaptive infilling for structure optimization

(2020) Li Chunna et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Surrogate-based optimization with improved support vector regression for non-circular vent hole on aero-engine turbine disk

(2019) Cheng Yan et al.   AEROSPACE SCIENCE AND TECHNOLOGY

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

(2019) Ping Jiang et al.   AIAA JOURNAL

Shape optimization of underwater wings with a new multi-fidelity bi-level strategy

(2019) Siqing Sun et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

A comparison study of two multifidelity methods for aerodynamic optimization

(2019) Spyridon G. Kontogiannis et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils

(2019) Jiaqing Kou et al.   APPLIED MATHEMATICAL MODELLING

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

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

Identifying optimal process parameters in deep penetration laser welding by adopting Hierarchical-Kriging model

(2018) Yang Yang et al.   INFRARED PHYSICS & TECHNOLOGY

Artificial neural networks used in optimization problems

(2018) Gabriel Villarrubia et al.   NEUROCOMPUTING

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

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

Ensemble of surrogate based global optimization methods using hierarchical design space reduction

(2018) Pengcheng Ye 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

A sequential multi-fidelity metamodeling approach for data regression

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

Principal component analysis and polynomial chaos expansion for time-variant reliability problems

(2017) Lara Hawchar et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

(2014) Yan Liu et al.   APPLIED SOFT COMPUTING

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

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

Derivative-Enhanced Variable Fidelity Surrogate Modeling for Aerodynamic Functions

(2012) Wataru Yamazaki et al.   AIAA JOURNAL

Efficient global optimization algorithm assisted by multiple surrogate techniques

(2012) Felipe A. C. Viana et al.   JOURNAL OF GLOBAL OPTIMIZATION

Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping

(2008) T. D. Robinson et al.   AIAA JOURNAL

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

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

Metamodel-based collaborative optimization framework

(2008) Parviz M. Zadeh et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION