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Deep Reinforcement Learning Based on Search Space Independent Operators for Black-Box Continuous Optimization

Ye Tian Yisai Liu Shangshang Yang Xingyi Zhang

自动化学报（英文版）2026，Vol.13Issue(4)：913-925,13.

自动化学报（英文版）2026，Vol.13Issue(4)：913-925,13.DOI:10.1109/JAS.2025.125444

Deep Reinforcement Learning Based on Search Space Independent Operators for Black-Box Continuous Optimization

Ye Tian ¹Yisai Liu ²Shangshang Yang ³Xingyi Zhang¹

作者信息

1. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education,School of Computer Science and Technology,Anhui University,Hefei 230601,China
2. Institutes of Physical Science and Information Technology,Anhui University,Hefei 230601,China
3. School of Artificial Intelligence,Anhui University,Hefei 230601,China
折叠

摘要

关键词

Black-box optimization/continuous optimization/metaheuristic/reinforcement learning/search operator

Key words

Black-box optimization/continuous optimization/metaheuristic/reinforcement learning/search operator

引用本文复制引用

Ye Tian,Yisai Liu,Shangshang Yang,Xingyi Zhang..Deep Reinforcement Learning Based on Search Space Independent Operators for Black-Box Continuous Optimization[J].自动化学报（英文版）,2026,13(4):913-925,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62136008,62276001,U21A20512,W2441019),the Anhui Provincial Natural Science Foundation(2308085J03),and the Excellent Youth Foundation of Anhui Provincial Colleges(2022AH030013). （62136008,62276001,U21A20512,W2441019）

自动化学报（英文版）

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