洪水区域救灾物流运输中最优路径蒙特卡洛仿真分析

发布时间：2018-02-20 00:23

本文关键词： 自然灾害物流运输蒙特卡洛仿真最优路径　出处：《科技通报》2017年02期 　论文类型：期刊论文

【摘要】：由于水灾等自然灾害具有很多的不确定性因素,使得洪水区域救灾物资运输路径多样。传统的最优路径选择方法主要根据原始的路径进行选择,忽略了洪水对周围环境的破坏原始路径不能用的情况,导致路径选择不准确的问题。提出建立蒙特卡洛仿真模型进行仿真分析,达到为灾区配送物资寻找最短运输距离的目的。利用蒙特卡洛模拟法建立灾区与物流配送站间的关联仿真模型,获得变量近似模拟;利用蚁群算法找出从起始点到目标点之间的最优路径,通过对蚂蚁觅食进行仿生模拟,在共同合作下利用信息素变化特性变换运动方向,信息素浓度集中的路径即为灾区物资物流运输的最优路径。实验证明,通过蒙特卡洛仿真模拟分析物流运输的最优路径,能够较好地完成灾后物资配送过程,保障了人们的生活需求。
[Abstract]:There are many uncertain factors in natural disasters, such as floods, which make the transportation routes of flood relief materials varied. The traditional optimal path selection method is mainly based on the original path selection. The failure of the original path caused by the flood damage to the surrounding environment is ignored, which leads to the inaccurate path selection. A Monte Carlo simulation model is proposed for simulation analysis. In order to find the shortest transportation distance for the distribution materials in the disaster area, the simulation model between the disaster area and the logistics distribution station is established by Monte Carlo simulation method, and the approximate simulation of the variables is obtained. The ant colony algorithm is used to find the optimal path from the starting point to the target point. Through the bionic simulation of the ant foraging, the motion direction is changed by using the pheromone variation characteristic under the cooperation. The path of concentration concentration of pheromone is the optimal path of material logistics transportation in disaster area. The experiment proves that the process of material distribution after disaster can be well completed by Monte Carlo simulation and analysis of the optimal path of logistics transportation. It protects people's living needs.
【作者单位】：许昌学院交通运输学院;
【分类号】：X43;TP391.9

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