Abstract
Many engineering problems involve optimizing a high-dimensional expensive black-box (HEB) design space. To solve such problems efficiently, we propose a knowledge transfer assisted efficient global optimization (EGO) algorithm, labeled as KT-EGO, which extends the EGO algorithm for solving problems over higher dimensions (i.e., $d>20$). Specifically, the original design space is divided into several low-dimensional subset design spaces. More importantly, in order to extract information from the subset design spaces to accelerate the progress of full optimization, we propose a surrogate-based data fusion strategy in KT-EGO. And further, a searching strategy with an adaptive variable range is devised to enhance the exploitation of promising areas. To show the effectiveness of our proposed algorithm, it is compared against the state-of-the-art algorithms over 12 benchmark functions and a 28-dimensional engineering optimization for the design of compressor blade, which fully validates the effectiveness of the KT-EGO for solving HEB problems.
Keywords
Subject
Publication details
- DOI
- 10.1080/0305215x.2022.2139374
- Journal
- Not available
- Open access
- Green open access
Cite this article
APA 7
Wang, Q., Song, L., Chen, Y., Ma, G., Guo, Z., & Li, J. (2026). KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems. https://doi.org/10.1080/0305215x.2022.2139374
MLA 9
Wang, Qineng, et al. "KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems." https://doi.org/10.1080/0305215x.2022.2139374.
Chicago (author–date)
Wang, Qineng, Liming Song, Yun Chen, Guangjian Ma, Zhendong Guo, and Jun Li. 2026. "KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems." https://doi.org/10.1080/0305215x.2022.2139374.
Harvard
Wang, Q., Song, L., Chen, Y., Ma, G., Guo, Z. and Li, J. (2026) 'KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems', doi:10.1080/0305215x.2022.2139374.
Vancouver
Wang Q, Song L, Chen Y, Ma G, Guo Z, Li J. KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems. doi:10.1080/0305215x.2022.2139374
IEEE
Q. Wang, L. Song, Y. Chen, G. Ma, Z. Guo, and J. Li, "KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems," doi: 10.1080/0305215x.2022.2139374.