Adaptive kriging-assisted optimization of low-thrust many-revolution transfers to geostationary Earth orbit-Reference-Cited by-同舟云学术

Adaptive kriging-assisted optimization of low-thrust many-revolution transfers to geostationary Earth orbit

Published:2020-12-13 Issue:12 Volume:53 Page:2040-2055
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Shi Renhe¹,Long Teng²³^ORCID,Baoyin Hexi¹,Ye Nianhui²³,Wei Zhao²³

Affiliation:

1. School of Aerospace Engineering, Tsinghua University, Beijing, People’s Republic of China

2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, People’s Republic of China

3. Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Chinese Postdoctoral Science Foundation

National Science Fund for Distinguished Young Scholars of China

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.2020.1843163

Reference28 articles.

1. Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method

2. A comprehensive preference-based optimization framework with application to high-lift aerodynamic design

3. Comparison between direct and indirect approach to solar sail circle-to-circle orbit raising optimization

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

5. Minimizing Proton Displacement Damage Dose During Electric Orbit Raising of Satellites

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