Kun Hu

Bidirectional job-shop scheduling with graph-theoretic features: a graph attention network and proximal policy optimization approach

A novel DRL-based approach that integrates bidirectional scheduling with graph-theoretic features to effectively solve JSSP is introduced, which achieves superior performance compared to traditional heuristics and classic DRL methods, while maintaining competitive results against recent state-of-the-art approaches.