RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning

no code implementations • 12 Apr 2024 • Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong

In this paper, we propose RLEMMO, a Meta-Black-Box Optimization framework, which maintains a population of solutions and incorporates a reinforcement learning agent for flexibly adjusting individual-level searching strategies to match the up-to-date optimization status, hence boosting the search performance on MMOP.

reinforcement-learning