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Variable Reconstruction for Evolutionary Expen-sive Large-Scale Multiobjective Optimization and Its Application on Aerodynamic Design

Jianqing Lin Cheng He Ye Tian Linqiang Pan

自动化学报（英文版）2025，Vol.12Issue(4)：719-733,15.

自动化学报（英文版）2025，Vol.12Issue(4)：719-733,15.DOI:10.1109/JAS.2024.124947

Variable Reconstruction for Evolutionary Expen-sive Large-Scale Multiobjective Optimization and Its Application on Aerodynamic Design

Jianqing Lin ¹Cheng He ²Ye Tian ³Linqiang Pan¹

作者信息

1. Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China,School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China
2. School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
3. School of Computer Science and Technology,Anhui University,Hefei 230601,China
折叠

摘要

关键词

Aerodynamic design/large-scale optimization/mul-tiobjective evolutionary algorithm/surrogate model/variable recon-struction

Key words

Aerodynamic design/large-scale optimization/mul-tiobjective evolutionary algorithm/surrogate model/variable recon-struction

引用本文复制引用

Jianqing Lin,Cheng He,Ye Tian,Linqiang Pan..Variable Reconstruction for Evolutionary Expen-sive Large-Scale Multiobjective Optimization and Its Application on Aerodynamic Design[J].自动化学报（英文版）,2025,12(4):719-733,15.

基金项目

This work was supported by the National Natural Science Foundation of China(U20A20306,62276191)and the Fundamental Research Funds for the Central Universities(HUST2023JYCXJJ011). （U20A20306,62276191）

自动化学报（英文版）

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