41 citations · 51 across the 4 of their papers we have counts for
4 papers
One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem
Lei Gao, Shihong Huang, Shengjie Wang +5
The three-dimensional bin packing problem (3D-BPP) is widely applied in logistics and warehousing. Existing learning-based approaches often neglect practical stability-related cons…
Predicting Geographic Information with Neural Cellular Automata
Mingxiang Chen, Qichang Chen, Lei Gao +2
This paper presents a novel framework using neural cellular automata (NCA) to regenerate and predict geographic information. The model extends the idea of using NCA to generate/reg…
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Mingxiang Chen, Lei Gao, Qichang Chen +1
This paper presents a novel neural network design that learns the heuristic for Large Neighborhood Search (LNS). LNS consists of a destroy operator and a repair operator that speci…
Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao, Mingxiang Chen, Qichang Chen +3
This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP). A local-search heuristics is composed…