Survey on Neural Routing Solvers

ArXi:2602.21761v2 Announce Type: replace-cross Neural routing solvers (NRSs) that leverage deep learning to tackle vehicle routing problems have nstrated notable potential for practical applications. By learning implicit heuristic rules from data, NRSs replace the handcrafted counterparts in classic heuristic frameworks, thereby reducing reliance on costly manual design and trial-and-error adjustments. This survey makes two main contributions: (1) The heuristic nature of NRSs is highlighted, and existing NRSs are reviewed from the perspective of heuristics.