首页|期刊导航|自动化学报(英文版)|A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems
自动化学报(英文版)2022,Vol.9Issue(11):1952-1966,15.DOI:10.1109/JAS.2022.105425
A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems
A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems
摘要
关键词
Autoencoder/dimension reduction/evolutionary algorithm/medium-scale expensive problems/teaching-learning-based optimizationKey words
Autoencoder/dimension reduction/evolutionary algorithm/medium-scale expensive problems/teaching-learning-based optimization引用本文复制引用
Meiji Cui,Li Li,MengChu Zhou,Jiankai Li,Abdullah Abusorrah,Khaled Sedraoui..A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems[J].自动化学报(英文版),2022,9(11):1952-1966,15.基金项目
This work was supported in part by the National Natural Science Foundation of China(72171172,62088101),in part by the Shanghai Science and Technology Major Special Project of Shanghai Development and Reform Commission(2021SHZDZX0100),in part by the Shanghai Commission of Science and Technology(19511132100,19511132101),in part by the China Scholarship Council,and in part by the Deanship of Scientific Research(DSR)at King Abdulaziz University(KAU),Jeddah,Saudi Arabia(FP-146-43). (72171172,62088101)