原文信息：Energy-optimal routing for electric vehicles using deep reinforcement learning with transformer原文链接：https://www.sciencedirect.com/science/article/abs/pii/S0306261923010759Highlights•Build an energy consumption model of electric vehicle for Electric Vehicle Routing Problem. • Formulate a novel energy-oriented Electric Vehicle Routing Problem. • Propose a deep reinforcement learning with transformer-based neural network to solve the Electric Vehicle Routing Problem. • Feature embedding module is added between the encoder and decoder of Transformer to provide contextual information.摘要为了最大限度降低电动物流车的运营成本，提出一种高效的端到端深度强化学习（DRL）的能量最优路径规划方法。首先，能量最小化电动汽车路径规划问题（EM-EVRP）是用电动汽车的能量消耗模型来制定的，而不是文献中普遍青睐的距离最小化EVRP。 能耗模型综合了车辆动力学、道路
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