摘要
现代战争要求弹药运输快捷迅速,因此,需要建立弹药运输路径最优选择模型,提升弹药运输的效率。但是采用现有模型进行弹药运输路径最优选择时,无法计算出每条路径到理想解的距离,存在无法得出路径的优化顺序问题。为此,本文提出一种基于混合TOPSIS的弹药运输路径最优选择模型。该模型先利用TOPSIS理论构建弹药运输路径决策矩阵,计算出每条弹药运输路径到理想解的距离,在此基础上利用蚁群理论思想将弹药运输路径优化问题转换为多目标决策问题,建立弹药运输路径多目标优化模型,得到弹药运输路径最优解集,从而完成对弹药运输路径的最优选择。实验仿真证明,所建模型可以有效地解决弹药运输路径选择问题,为弹药保障决策提供科学依据。
This research focuses on optimal selection model of transportation route of ammunition based on mixture TOPSIS. The research used TOPSIS theory to build decision matrix of the transportation route and worked out distance between each transportation route and ideal solution, then used ant colony to convert the problem of route optimization to the problem of multi-objective decision on that basis. The research built a multi-objective optimization model of route and obtained the optimal solution of transportation route. Thus, the optimal selection was completed. Experi- mental simulation proves that the model can solve the route selection problem effectively. It provides a scientific basis for decision of ammunition support.
出处
《计算机仿真》
北大核心
2017年第5期21-24,共4页
Computer Simulation
关键词
弹药运输
路径
最优选择
： Ammunition transportation
Route
Optimal selection
