PT Journal
AU Wei, L
   Wei, F
   Schmitz, S
   Kunal, K
TI Optimization of Container Relocation Problem via Reinforcement Learning
SO Logistics Journal : Proceedings
PY 2021
VL 2021
IS 17
DI 10.2195/lj_Proc_wei_en_202112_02
DE Block Relocation Problem; Container Relocation Problem; ML-Agents; Reinforcement Learning
AB This paper presents an optimization method of Container Relocation Problem (CRP) via Reinforcement Learning (RL) based on heuristic rules. The method to calculate theoretical lowest relocation rate is also briefly explained. As the result, training models for different dimensional bays are provided. Compared to the theoretical value, the result relocation rate is acceptable with high inference speed. Furthermore, extended CRP in block will be briefly demonstrated.
ER