Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution

4 March 2024

Papers citing "Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution"

6 / 6 papers shown

Title
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma Yue-Jiao Gong Hongshu Guo Wenjie Qiu Sijie Ma ... Zhiyang Huang Zechuan Huang Guojun Peng Ran Cheng Yining Ma OffRL 10 0 0 23 May 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Xuzhi Zhang Jun Zhang Jiawei Liu 68 2 0 24 Apr 2025
PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box Optimization Xu Yang Rui Wang K. Li Wenhua Li Tao Zhang Fujun He 44 1 0 26 Mar 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 141 4 0 01 Nov 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Zeyuan Ma Jiacheng Chen Hongshu Guo Yining Ma Yue-Jiao Gong 51 9 0 12 Apr 2024
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient Jianyong Sun Xin Liu Thomas Bäck Zongben Xu 56 84 0 06 Feb 2021