Deep Reinforcement Learning Using Multiview Graph Attention Mechanisms for Flexible Job Shop Scheduling
The flexible job shop scheduling problem (FJSP) is a typical challenge in modern manufacturing system scheduling. Classical optimization methods encounter difficulties extracting complex structural information in disjunctive graphs. An end-to-end approach is proposed in which a graph attention network (GAT) is integrat...