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

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

Hongshu Guo
Yining Ma
Zeyuan Ma
Jiacheng Chen
Xinglin Zhang
Zhiguang Cao
Jun Zhang
Yue-Jiao Gong
ArXivPDFHTML

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
7
0
0
23 May 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
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
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
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
136
4
0
01 Nov 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
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
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Jianyong Sun
Xin Liu
Thomas Bäck
Zongben Xu
56
82
0
06 Feb 2021