A variable-fidelity multi-objective optimization method for aerospace structural design optimization-Reference-Cited by-同舟云学术

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

Published:2022-04-26 Issue: Volume: Page:1-16
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Xue Tao¹,Chen Long¹,Hu Jiexiang¹,Zhou Qi¹

Affiliation:

1. School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Nature Science Foundation of Hubei Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2022.2061964

Reference35 articles.

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

2. Bautista, Dianne Carrol Tan. 2009. “A Sequential Design for Approximating the Pareto Front Using the Expected Pareto Improvement Function.” PhD diss., The Ohio State University.

3. Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach

4. Transfer learning based multi-fidelity physics informed deep neural network

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

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