arXiv · Neural and Evolutionary Computing· Lechen Li (State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 519000, China, College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China), Rongye Shi (School of Artificial Intelligence, Beihang University, Beijing 100191, China), Wanhuan Zhou (State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 519000, China)·· 3 小时前AI 评分24
DRL-DCO：用深度强化学习动态协调 DE 与 CMA-ES 的进化搜索
Learning to Orchestrate Evolutionary Search: Progression-Aware Deep Reinforcement Learning for Dynamic DE-CMA-ES Coordination in Optimization and Structural Model Updating
AI 导读
研究提出 DRL-DCO 算法，用基于 DDPG 的 actor-critic 智能体将 Differential Evolution 与 CMA-ES 作为统一系统动态协调，并联合调控种群规模、精英保留与重启机制。
来源：arXiv · Neural and Evolutionary Computing · arxiv.org