摘要
由于氯盐污染环境对铁路工程建设具有制约作用,同时现有铁路工程造价模型均存在着数据处理能力差、造价预测精准度低的缺陷,为此提出考虑氯盐污染环境的铁路工程造价模型优化研究。首先通过分析氯盐污染的作用影响,得到氯盐污染环境与铁路工程造价关系,在此基础上,根据氯盐污染影响及铁路工程造价优化的需求对其优化框架进行搭建,并对铁路工程造价信息进行相应的量化处理,以此为基础,引入基因表达式编程构建铁路工程造价预测模型,以得到的铁路工程造价预测模型为依据,采用遗传算法对模型参数进行优化,将优化后的参数代入模型对铁路工程造价进行预测,实现了铁路工程造价模型的优化。
Because the chlorine pollution environment restricts the construction of railway engineering,and the existing railway engineering cost models have the defects of poor data processing ability and low precision of cost prediction.This paper puts forward the optimization of railway engineering cost model considering chlorine salt pollution environment.By analyzing the influence of chlorine pollution,the relationship between chlorine pollution environment and railway engineering cost is obtained.On this basis,the optimization framework is built according to the influence of chlorine pollution and the demand of railway engineering cost optimization.On the basis of quantitative processing of railway engineering cost information,this paper introduces gene expression programming to construct railway engineering cost prediction model.Based on the obtained railway engineering cost prediction model,genetic algorithm is used to optimize the model parameters,and the optimized parameters are replaced by the model to predict the railway engineering cost model,and the railway engineering cost model is optimized.
作者
翟国祥
Zhai Guoxiang(Lanzhou Railway Design Institute Co.Ltd,Lanzhou 730000,China)
出处
《环境科学与管理》
CAS
2020年第2期63-67,共5页
Environmental Science and Management
关键词
氯盐污染环境
铁路工程
造价
优化
chloride pollution environment
railway engineering
cost
optimization
