首页|期刊导航|清华大学学报自然科学版(英文版)|Differential Evolution with Joint Adaptation of Mutation Strategies and Control Parameters via Distributed Proximal Policy Optimization
清华大学学报自然科学版(英文版)2026,Vol.31Issue(1):101-124,24.DOI:10.26599/TST.2024.9010185
Differential Evolution with Joint Adaptation of Mutation Strategies and Control Parameters via Distributed Proximal Policy Optimization
Differential Evolution with Joint Adaptation of Mutation Strategies and Control Parameters via Distributed Proximal Policy Optimization
摘要
关键词
Differential Evolution(DE)/Evolutionary Algorithm(EA)/Deep Reinforcement Learning(DRL)/parameter controlKey words
Differential Evolution(DE)/Evolutionary Algorithm(EA)/Deep Reinforcement Learning(DRL)/parameter control引用本文复制引用
Wenjie Ding,Mengtao Qian,Chao Lu,Jin Yi,Huayan Pu,Jun Luo..Differential Evolution with Joint Adaptation of Mutation Strategies and Control Parameters via Distributed Proximal Policy Optimization[J].清华大学学报自然科学版(英文版),2026,31(1):101-124,24.基金项目
This work was supported by the National Natural Science Foundation of China(No.52105244),the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems(No.GZKF-202425),the Entrepreneurship and Innovation Support Plan of Chongqing for Returned Overseas Scholars(No.cx2023085),and the Independent Research Project-Key Program from the State Key Laboratory of Mechanical Transmission for Advanced Equipment(No.SKLMT-ZZKT-2024Z09). (No.52105244)