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cs.LG2025
VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
Shiyan Liu, Bohan Tan, Zhiguang Cao +1
Graph routing problems play a vital role in web-related networks, where finding optimal paths across graphs is essential for efficient data transmission and content delivery. Class…
cs.LG2025
Learning to Search for Vehicle Routing with Multiple Time Windows
Kuan Xu, Zhiguang Cao, Chenlong Zheng +1
In this study, we propose a reinforcement learning-based adaptive variable neighborhood search (RL-AVNS) method designed for effectively solving the Vehicle Routing Problem with Mu…
cs.LG2025
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
Yuxin Pan, Ruohong Liu, Yize Chen +2
Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates the global partition of…