The CARM module boosts neural routing solvers by adaptively modulating embeddings with constraint variables, enabling better use of global observations and improved performance on constrained VRPs.
Learning to reduce search space for generalizable neural routing solver
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DREE enables neural VRP solvers to learn new drifting tasks efficiently while preserving prior knowledge and improving generalization under limited per-task training resources.
citing papers explorer
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Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver
The CARM module boosts neural routing solvers by adaptively modulating embeddings with constraint variables, enabling better use of global observations and improved performance on constrained VRPs.
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Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
DREE enables neural VRP solvers to learn new drifting tasks efficiently while preserving prior knowledge and improving generalization under limited per-task training resources.