Reproduce “Size Generalization for Diffusion Routing Solvers” on OpenResearch

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About this paper

Barak Itzchak Davidovitch, Eli Meirom, Ethan Fetaya, Gal Chechik

ResizeCO adapts a diffusion solver supervised on labeled small instances to larger unlabeled routing problems using route-quality feedback, then improves routes with parallel GPU search. In synthetic CVRP-1000-to-10000, it reports a −0.096% average relative excess-cost gap against a heuristic reference in 49.9 minutes total, versus MaskCO’s 2.36% in 10.6 hours. The negative gap is not proof of optimality.

Summary by alphaXiv.

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