车祸干扰下物流运输网络失效抗毁方法仿真

Simulation of Survivability Method of Logistics Transportation Network under Interference of Car Accidents

提出了一种基于灰色神经网络算法的物流运输网络失效抗毁方法。建立灰色神经网络模型,对物流运输网络中不同路径的运输量进行估计。利用蚁群算法选取物流运输合理路径,从而实现车祸干扰下的物流运输网络失效抗毁。实验结果表明,利用本文算法进行车祸干扰下的物流运输网络失效抗毁处理,能够有效提高车祸情况下物流网络的抗毁性。

In this paper, we proposed a survivability method for a logistics transportation network on the basis of the grey neural network algorithm： first we established the grey neural network model and then estimated the transportation volume of the different routes in the network; then we selected the suitable logistics transportation route using the ant colony algorithm to realize the survivability of the logistics transportation network under the interference of car accidents.