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Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization

Qi Deng Qi Kang MengChu Zhou Xiaoling Wang Shibing Zhao Siqi Wu Mohammadhossein Ghahramani

自动化学报（英文版）2025，Vol.12Issue(5)：961-973,13.

自动化学报（英文版）2025，Vol.12Issue(5)：961-973,13.DOI:10.1109/JAS.2025.125111

Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization

Qi Deng ¹Qi Kang ¹MengChu Zhou ²Xiaoling Wang ¹Shibing Zhao ¹Siqi Wu ¹Mohammadhossein Ghahramani³

作者信息

1. Department of Control Science and Engineering,Tongji University,Shanghai 201804,China
2. Macao Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems,Macau University of Science and Technology,Macao 999078,China||Helen and John C.Hartmann Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA
3. Birmingham City University,Birmingham B4 7RQ,UK
折叠

摘要

关键词

Expensives multi-objective optimization/reverse model/surrogate-assisted evolutionary algorithms(SAEAs)

Key words

Expensives multi-objective optimization/reverse model/surrogate-assisted evolutionary algorithms(SAEAs)

引用本文复制引用

Qi Deng,Qi Kang,MengChu Zhou,Xiaoling Wang,Shibing Zhao,Siqi Wu,Mohammadhossein Ghahramani..Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization[J].自动化学报（英文版）,2025,12(5):961-973,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(51775385),the Natural Science Foundation of Shanghai(23ZR1466000),the Shanghai Industrial Collaborative Science and Technology Innovation Project(2021-cyxt2-kj10),the Innovation Program of Shanghai Municipal Education Commission(202101070007E00098),and Fundo para o Desenvolvimento das Ciencias e da Tecnologia(FDCT)(0147/2024/AFJ). （51775385）

自动化学报（英文版）

ISSN：2329-9266

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