Qing Huang

A hierarchical reinforcement learning based subtask-coordinated scheduling method for constrained multi-objective evolutionary algorithm

In recent years, constrained multi-objective optimization problems(CMOPs) remain challenging due to the complex structure of feasible regions, the difficulty of balancing convergence and diversity, and the lack of adaptive operator scheduling mechanisms. To address these issues, this paper proposes a hierarchical reinf...