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Electric vehicle routing problem with non-linear charging and load-dependent discharging

机译:具有非线性充电和载荷依赖性放电的电动车辆路由问题

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We propose a three-index formulation for E-VRP with Non-Linear charging and Load-Dependent discharging (E-VRP-NL-LD), and an Adaptive Large Neighborhood Search (ALNS) algorithm to solve the E-VRP-NLLD and E-VRP-NL-LD with Capacitated Charging Stations (E-VRP-NL-LD-CCS). Existing implementations of EVRP duplicate charging station nodes which enables the modelling of EVRP using extended VRP formulations. Two limitations of such an approach are: (i) the number of such duplications is not known a priori, and (ii) the size of the problem increases. In our formulation, we allow multiple visits to a charging station without duplicating nodes. We propose five new operators for ALNS which are tested on 120 instances each of E-VRP-NL and E-VRP-NL-LD, and 80 instances of E-VRP-NL-LD-CCS. Results show that our ALNS outperforms the existing algorithms improving the solution in 63% of the instances and matching the best known solution in 31% of the instances. Results also show that considering load-dependent discharge is critical to optimally solve E-VRP. (C) 2020 Elsevier Ltd. All rights reserved.
机译:我们为具有非线性充电和负载依赖性放电(E-VRP-NL-LD)的E-VRP提出了三个索引制剂,以及用于解决E-VRP-NLLD的自适应大邻域搜索(ALNS)算法具有电容充电站的E-VRP-NL-LD(E-VRP-NL-LD-CCS)。 EVRP重复充电站节点的现有实现,其能够使用扩展VRP配方进行EVRP的建模。这种方法的两个局限性是:(i)此类重复的数量不知道先验,并且(ii)问题的大小增加。在我们的配方中,我们允许多次访问充电站而无需重复节点。我们为ALN提出了五个新的运营商,其在120个实例上测试了E-VRP-NL和E-VRP-NL-LD中的每一个,以及80个E-VRP-NL-LD-CC的实例。结果表明,我们的ALNS优于现有的算法在63%的情况下提高解决方案,并在31%的情况下匹配最佳已知解决方案。结果还表明,考虑载荷依赖性放电对于最佳解决E-VRP至关重要。 (c)2020 elestvier有限公司保留所有权利。

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