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cs.LG2026
JAMPR+/L2D: scalable neural heuristic for constrained vehicle routing problems in dynamic environment
Andrew Soroka, Alex Meshcheryakov
The vehicle routing problems with real-world constraints (we consider vehicles capacity limits, time windows constrains, pickup-and-delivery multi-depo --- CPDPTW) pose significant…
cs.LG2026
Deep Reinforcement Learning solution for pickup and delivery routing problems with time window and capacity constraints
Andrew Soroka, Alex Meshcheryakov, Sergey Gerasimov
The task of constructing vehicles optimal routes for pickup and delivery of goods is one of most promising tasks in the context of global urban population growth. Although this kin…