With the development and popularity of intelligent store terminals, contactless distribution has been a hot talk on medical supplies using intelligent express boxes. Based on the traditional vehicle routing problem, this paper considers the sharing economy and open-loop distribution reality hotspots and considers the optimization of carbon emissions in contactless distribution. The travel distance and load capacity are the key factors affecting carbon emissions. The carbon emission model proposes dual goals of minimizing distribution costs and carbon emissions. It constructs a distribution path planning model with multiple distribution stations. To solve this problem with multidepot optimization, we design a hybrid genetic algorithm, and according to the strategy of customer distance clustering analysis, the dispatching of vehicles is divided into three steps. The principle of elite crossing is applied to avoid the solution to fall into local optimum. The experimental results show that the proposed model and optimization algorithm can get a tradeoff between the logistics cost and carbon emissions.

中文翻译：

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开环配送下医疗用品的多目标非接触式配送

随着智能门店终端的发展和普及，使用智能快递箱进行无接触配送已成为医疗用品的热门话题。本文基于传统的车辆路径问题，考虑共享经济和开环配送现实热点，考虑非接触配送中的碳排放优化。行驶距离和承载能力是影响碳排放的关键因素。碳排放模型提出了最小化分销成本和碳排放的双重目标。构建了具有多个配送站点的配送路径规划模型。针对这一问题，我们设计了一种混合遗传算法，并根据客户距离聚类分析的策略，通过多站点优化来解决这个问题。车辆的调度分为三个步骤。应用精英交叉原理避免解陷入局部最优。实验结果表明，所提出的模型和优化算法可以在物流成本和碳排放之间取得平衡。