基于粒子群–单目标优化模型的电商物流网络修复与结构优化方案
E-Commerce Logistics Network Restoration and Structural Optimization Plan Based on Particle Swarm-Single Objective Optimization Model

为解决电商物流网络的目的分拣节点受突发事件影响时，网络的运输能力显著下降的问题，结合现实情况，对物流网络不可开闭新线路与可开闭新线路两种情形分别建立单目标规划模型：将相关未完成运送的货物转移至其他线路，并维持线路的载荷量均衡且合理。同时，使用粒子群算法进行求解。进一步，对网络节点的重要性进行排名，改造并优化网络的架构，从而对重要节点进行保护和强化，增强了网络的鲁棒性。结果表明，该模型能较好疏散未完成包裹；优化后的网络也具有更强的鲁棒性。
In order to solve the problem of significant decreases in network transportation capacity when sorting nodes of logistics network of e-commerce are affected by sudden events, this article, based on the actual situation, divides the model into two cases and builds swarm-single objective optimization model relatively: those with new routes that cannot be opened and closed and those with new routes that can be opened and closed. A single-objective programming model is established to transfer related unfinished shipments to other routes and maintain rationality as well as load balance. At the same time, the particle swarm optimization algorithm is used for the solution. Further, the importance of network nodes is ranked, the architecture of the network is transformed and optimized, and important nodes are protected and strengthened, enhancing the robustness of the network. The results show that the model can evacuate the undelivered packages better; the optimized network also has stronger robustness.