Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A SurveyOACSTPCDEI

作者：MengChu Zhou;Meiji Cui;Dian Xu;Shuwei Zhu;Ziyan Zhao;Abdullah Abusorrah

作者单位：Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark,NJ 07102 USA||School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,ChinaSchool of Intelligent Manufacturing,Nanjing University of Science and Technology,Nanjing 210094,ChinaInstitute of Systems Engineering,Macau University of Science and Technology,Macau 999078,ChinaSchool of Artificial Intelligence and Computer,Jiangnan University,Wuxi 214122,ChinaSchool of Information Science and Engineering,Northeastern University,Shenyang 110819,ChinaCenter of Research Excellence in Renewable Energy and Power Systems,Department of Electrical and Computer Engineering,Faculty of Engineering,and K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah 21589,Saudi Arabia

中文关键词：Evolutionary algorithm(EA)high-dimensional expensive problems(HEPs)industrial applicationssurrogate-assisted optimization

英文关键词：Evolutionary algorithm(EA)high-dimensional expensive problems(HEPs)industrial applicationssurrogate-assisted optimization

刊名：《自动化学报（英文版）》 2024 (5)

页码/页数：1092-1105,14

基金：This work was supported in part by the Natural Science Foundation of Jiangsu Province(BK20230923,BK20221067),the National Natural Science Foundation of China(62206113,62203093),Institutional Fund Projects Provided by the Ministry of Education and King Abdulaziz University(IFPIP-1532-135-1443),and FDCT(Fundo para o Desen-volvimento das Ciencias e da Tecnologia)(0047/2021/A1).

DOI：10.1109/JAS.2024.124320