Xingwang Huang

Optimizing one-dimensional bin packing for conveyor belt logistics via pointer-network-based A2C and heuristics

The one-dimensional Bin Packing Problem (1D-BPP) poses significant challenges in logistics, particularly for optimizing item packing sequences in warehouse conveyor belt systems. This paper proposes a Deep Reinforcement Learning (DRL) approach using Advantage Actor-Critic (A2C) i...