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GPU-Accelerated MEDO Algorithm with Differential Grouping(DG-GMEDO)for High-Dimensional Electromagnetic Optimization Problems

Xin Zhang Haoyang Zhang Ruizhe Yang Lilin Li Donglin Su

电子学报（英文）2025，Vol.34Issue(4)：1052-1063,12.

电子学报（英文）2025，Vol.34Issue(4)：1052-1063,12.DOI:10.23919/cje.2024.00.228

GPU-Accelerated MEDO Algorithm with Differential Grouping(DG-GMEDO)for High-Dimensional Electromagnetic Optimization Problems

Xin Zhang ¹Haoyang Zhang ¹Ruizhe Yang ¹Lilin Li ¹Donglin Su¹

作者信息

1. School of Electronic and Information Engineering,Beihang University,Beijing 100191,China||Institute of Electromagnetic Compatibility Technology,Beihang University,Beijing 100191,China
折叠

摘要

关键词

Optimization algorithm/Maxwell's equations derived optimization(MEDO)/Parallel acceleration/Enhanced differential grouping/High-dimensional problems

Key words

Optimization algorithm/Maxwell's equations derived optimization(MEDO)/Parallel acceleration/Enhanced differential grouping/High-dimensional problems

引用本文复制引用

Xin Zhang,Haoyang Zhang,Ruizhe Yang,Lilin Li,Donglin Su..GPU-Accelerated MEDO Algorithm with Differential Grouping(DG-GMEDO)for High-Dimensional Electromagnetic Optimization Problems[J].电子学报（英文）,2025,34(4):1052-1063,12.

基金项目

This work was supported by the National Natural Sci-ence Foundation of China(Grant No.62201021). （Grant No.62201021）

电子学报（英文）

ISSN：1022-4653

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