Aug 2026
Energy-efficient flexible job shop scheduling with heterogeneous graph embedding and adaptive proximal policy optimization
An adaptive proximal policy optimization algorithm is proposed that enhances the representation capability of the decision-making network by introducing a learnable adaptive gating mechanism and improves the stability and feasibility of solutions by incorporating an ε-greedy strategy and a masking mechanism.
Changshun Shao, Zheng-Lin Yu, Jianyin Tang et al.
· Cluster Computing · 0 citations