Research2h ago
Transformer Model Tackles Open Shop Scheduling
A new Transformer-based policy uses an encoder-decoder architecture to solve the open shop scheduling problem. Trained on Taillard benchmarks, the model produces feasible schedules within 15-30% of best-known makespans. It relies solely on processing-time matrices for input. This approach offers a scalable alternative to manual tuning in complex industrial scheduling environments.