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针对交通限行条件下城市配送的现实问题,提出基于车辆协作的“多对多”网络化换乘联运策略。设计协作点的选择准则与序贯式联运规则,以协作点衔接城市通行区域与限行区域,建立基于车辆协作的城市配送换乘联运模型。同时,考虑到模型的复杂性,利用云模型云滴的随机性与倾向性,改进遗传算法中变异与交叉概率的设置方式,设计云遗传算法优先求解第二级配送问题,再利用C-W算法求解第一级配送问题,为了增强算法的求解质量与效率,设计了扰动算子与种群扩张算子。最后,结合不同算例验证了模型与算法的有效性。
In view of the realistic problem of urban distribution under the condition of traffic restriction, this paper proposes a “multi-to-many” network-based transfer and transportation strategy based on vehicle cooperation. Design collaboration point selection criteria and sequential transport rules, the collaboration point of convergence of urban traffic and limited line area, the establishment of a vehicle based on the cooperative model of urban delivery and transfer. At the same time, taking into account the complexity of the model, the use of cloud model cloud drops randomness and propensity to improve the mutation and crossover probability of genetic algorithm settings, genetic algorithm designed to give priority to solving the second level of distribution, and then use the CW algorithm to solve In order to improve the quality and efficiency of the algorithm, a disturbance operator and a population expansion operator are designed. Finally, different examples are used to verify the validity of the model and the algorithm.