DRL4IPPS
DRL4IPPS focuses on utilizing Deep Reinforcement Learning to deal with Integrated Processing Planning and Scheduling Problem, which is an extremely hard realistic problem. The proposed method can make decisions within a few seconds and outperform traditional dispatching methods, as well as obtain an improvement of 11.35% compared with OR-Tools SAT-CP Solver and the Gurobi MILP Solver with a 7200-second time limit on large instances.
Please refer to Paper (arXiv) for more details.
Apr 1, 2024
