An efficient global optimization algorithm combining revised expectation improvement criteria and Kriging
Z Liu, H Huang, X Xu, M **ong, Q Li - Engineering Optimization, 2024 - Taylor & Francis
The efficient global optimization (EGO) algorithm is a kind of Bayesian optimization
algorithm that uses the Kriging interpolation model and expectation improvement (EI) criteria …
algorithm that uses the Kriging interpolation model and expectation improvement (EI) criteria …
Multidisciplinary design and metamodel assisted optimization for a telecommunication satellite with large-size payload
R Shi, X Tai, T Long, N Ye, F Dong - Acta Astronautica, 2025 - Elsevier
With the increasing demands for high-speed data transmission and global communication,
GEO telecommunication satellites with large-size antenna payload have attracted much …
GEO telecommunication satellites with large-size antenna payload have attracted much …
Multiple Surrogate-Model-Based Optimization Method Using the Multimodal Expected Improvement Criterion for Expensive Problems
In this article, a multiple surrogate-model-based optimization method using the multimodal
expected improvement criterion (MSMEIC) is proposed. In MSMEIC, an important region is …
expected improvement criterion (MSMEIC) is proposed. In MSMEIC, an important region is …
[HTML][HTML] MSSRGO: A multimeta-model-based global optimization method using a selection-rank-based infill sampling strategy
In recent years, multimeta-model-based global optimization (MMGO) methods have received
increasing attention due to their good performance in solving expensive black box problems …
increasing attention due to their good performance in solving expensive black box problems …