SPACE framework unifies symmetric and asymmetric VRPs via bidirectional Frechet representations and weight-decomposed decoding for zero-shot generalization across 110 variants.
Survey on neural routing solvers
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
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.
citing papers explorer
-
SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver
SPACE framework unifies symmetric and asymmetric VRPs via bidirectional Frechet representations and weight-decomposed decoding for zero-shot generalization across 110 variants.
-
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.