3 papers
cs.LG2025
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo +11
Meta-Black-Box Optimization (MetaBBO) streamlines the automation of optimization algorithm design through meta-learning. It typically employs a bi-level structure: the meta-level p…
cs.NE2025
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
Zeyuan Ma, Hongqiao Lian, Wenjie Qiu +1
Detecting potential optimal peak areas and locating the accurate peaks in these areas are two major challenges in Multimodal Optimization problems (MMOPs). To address them, much ef…
cs.NE2024
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
Hongqiao Lian, Zeyuan Ma, Hongshu Guo +2
Solving multimodal optimization problems (MMOP) requires finding all optimal solutions, which is challenging in limited function evaluations. Although existing works strike the bal…