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Deep Dynamic Attention Model with Gate Mechanism for Solving Time-dependent Vehicle Routing Problems
We thus propose a Deep Dynamic Attention Models with Gate Mechanisms (DDAM-GM) to learn heuristics for time-dependent VRPs (TDVRPs) in real-world road networks.
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