AIBullisharXiv – CS AI · 18h ago6/10
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Leveraging Structural Constraints for Diffusion-based Neural TSP Solvers
Researchers introduce Projected Consistency Inference (PCI), a neural optimization method that solves the Traveling Salesman Problem more efficiently than gradient-based approaches by using structure-aware projections and local search instead of computationally expensive refinement. PCI achieves better optimality gaps (0.17% for 500 cities, 0.31% for 1000 cities) while reducing inference time by 30-40% compared to state-of-the-art FT2T methods.