2 papers
cs.LG2025
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
Zeyuan Ma, Zhiyang Huang, Jiacheng Chen +2
Recent Meta-Black-Box Optimization (MetaBBO) approaches have shown possibility of enhancing the optimization performance through learning meta-level policies to dynamically configu…
cs.LG2024
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo, Zeyuan Ma, Jiacheng Chen +4
Recent advances in Meta-learning for Black-Box Optimization (MetaBBO) have shown the potential of using neural networks to dynamically configure evolutionary algorithms (EAs), enha…