A sequential optimal Latin hypercube design method using an efficient recursive permutation evolution algorithm-Reference-Cited by-同舟云学术

A sequential optimal Latin hypercube design method using an efficient recursive permutation evolution algorithm

Published:2022-12-11 Issue: Volume: Page:1-20
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Li Guosheng¹,Yang Jiawei¹,Wu Zeping¹^ORCID,Zhang Weihua¹,Okolo Patrick²^ORCID,Zhang Dequan³

Affiliation:

1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, People’s Republic of China

2. Mechanical Engineering and Mathematical Sciences, Faculty of Technology, Design and Environment, Oxford Brookes University, Oxford, UK

3. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Hebei University of Technology, Tianjin, People’s Republic of China

Funder

National Natural Science Foundation of China

Research Project of National University of Defense Technology

Science and Technology Innovation Program of Hunan 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.2022.2148665

Reference26 articles.

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2. Ba, S. 2015. “SLHD: Maximin-Distance (Sliced) Latin Hypercube Designs.”

3. Bates, Stuart J., Johann Sienz, and Vassili V. Toropov. 2004. “Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures.” Structural Dynamics and Materials Conference, Vol. 7, Palm Springs, California, pp. 5217–5223.

4. Sequentially Refined Latin Hypercube Designs: Reusing Every Point

5. A Meshless Solution for the Variable-Order Time Fractional Nonlinear Klein–Gordon Equation

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