FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing
arXiv·low signal
Applies feature-wise linear modulation to generalize learned vehicle routing solutions across different depot configurations without retraining. Tackles a central logistics optimization challenge with a neural approach that transfers across problem variants — practical for ML teams working on combinatorial optimization in supply chain applications.