A variable-fidelity multi-objective optimization method for aerospace structural design optimization

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems

(2021) Ji Cheng et al.   APPLIED SOFT COMPUTING

Multi-fidelity Data Fusion Based on Gradient-Enhanced Surrogate Modelling Method

(2021) Kunpeng Li et al.   JOURNAL OF MECHANICAL DESIGN

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

(2021) Yuda Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

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

(2021) Quan Lin et al.   KNOWLEDGE-BASED SYSTEMS

Transfer learning based variable-fidelity surrogate model for shell buckling prediction

(2021) Kuo Tian et al.   COMPOSITE STRUCTURES

A multi-fidelity surrogate model based on support vector regression

(2020) Maolin Shi et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Expected improvement for expensive optimization: a review

(2020) Dawei Zhan et al.   JOURNAL OF GLOBAL OPTIMIZATION

Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Square

(2020) Liye Lv et al.   JOURNAL OF MECHANICAL DESIGN

Transfer learning based multi-fidelity physics informed deep neural network

(2020) Souvik Chakraborty   JOURNAL OF COMPUTATIONAL PHYSICS

A model validation framework based on parameter calibration under aleatory and epistemic uncertainty

(2020) Jiexiang Hu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Multi-fidelity and multi-objective optimization of low-thrust transfers with control strategy for all-electric geostationary satellites

(2020) Renhe Shi et al.   ACTA ASTRONAUTICA

A comparative study of multi-objective expected improvement for aerodynamic design

(2019) Lavi Rizki Zuhal et al.   AEROSPACE SCIENCE AND TECHNOLOGY

A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models

(2019) Xueguan Song et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An online variable-fidelity optimization approach for multi-objective design optimization

(2019) Leshi Shu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Applications of surrogate-assisted and multi-fidelity multi-objective optimization algorithms to simulation-based aerodynamic design

(2019) Anand Amrit et al.   ENGINEERING COMPUTATIONS

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

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

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

Surrogate-assisted hierarchical particle swarm optimization

(2018) Haibo Yu et al.   INFORMATION SCIENCES

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

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

A modified hypervolume based expected improvement for multi-objective efficient global optimization method

(2018) Zheng Li et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

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

(2014) Yan Liu et al.   APPLIED SOFT COMPUTING

Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

(2013) Ivo Couckuyt et al.   JOURNAL OF GLOBAL OPTIMIZATION

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

An Improved Kriging-Assisted Multi-Objective Genetic Algorithm

(2011) Mian Li   JOURNAL OF MECHANICAL DESIGN

Power transformer differential protection using neural network Principal Component Analysis and Radial Basis Function Neural Network

(2010) Manoj Tripathy   SIMULATION MODELLING PRACTICE AND THEORY

Response surface methodology for constrained simulation optimization: An overview

(2007) Jack P.C. Kleijnen   SIMULATION MODELLING PRACTICE AND THEORY