物流配载技术优化研究与应用

发布时间：2018-01-27 05:29

本文关键词： 物流物流配载路径优化算法　出处：《浙江海洋学院》2015年硕士论文　论文类型：学位论文

【摘要】：本文主要研究物流配送地点较多、起点终点一致时的路径优化问题,可归纳为组合优化问题,并运用遗传算法来寻求最优解,得到最优配载路线。在解决物流车辆配载问题上,有多种解决方法,但在实际应用中这些方法会有诸如运行时反应慢、灵活性差、可操作性差等多方面问题,对于这些问题,本文提出了运用层次分析法进行优化配载建模思想,其较好地将定性与定量分析相结合,是一种既操作简单、其结果又令客户较为满意的方法,对物流今后的发展,有一定的参考意义。本文首先对物流配载优化状况进行分析,其次针对路径优化问题,运用MATLAB软件实现对遗传算法效果的仿真与比较分析,对物流车辆配载模型进行各参数仿真计算,并建立具有使用价值的配载预测模型,结果可以证实优化配载模型解决了实际中部分难以量化的较为复杂的问题。
[Abstract]:This paper mainly studies the path optimization problem when there are many logistics distribution locations and the starting point and the end point are the same, which can be summarized as combinatorial optimization problem, and the genetic algorithm is used to find the optimal solution. There are many ways to solve the problem of logistics vehicle stowage, but in the practical application, these methods will have many problems such as slow response, poor flexibility, poor maneuverability and so on. For these problems, this paper puts forward the idea of optimizing stowage modeling by using AHP, which combines qualitative and quantitative analysis well. It is a simple method and the result of which makes customers more satisfied. For the future development of logistics, there is a certain reference significance. Firstly, this paper analyzes the situation of logistics stowage optimization, and then focuses on the path optimization problem. The simulation and comparative analysis of the effect of genetic algorithm are realized by using MATLAB software, the parameters of the vehicle stowage model are simulated and calculated, and the load forecasting model with useful value is established. The results show that the optimal stowage model solves some complicated problems which are difficult to quantify in practice.
【学位授予单位】：浙江海洋学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP301.6;F252

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