Evolutionary Multimodal Optimization Assisted by Deep Reinforcement Learning: A Meta-Black-Box Optimization Approach

RLEMMO, a Meta-Black-Box Optimization framework, maintains a population of solutions and incorporates a reinforcement learning agent to flexibly adjust individual-level searching strategies, effectively addressing the challenges in multimodal optimization problems.