摘要
在分析南水北调工程中线(新庄口门—周口)工程实例的基础上,针对原始设计方案管网投资费用较高的问题,分别采用基于神经网络的两级优化算法和遗传算法对此管段的管径进行优化,经仿真计算结果表明:两种算法均能实现主干管为146.53 km的长距离引水管道管径的优化,并能有效节约管网造价,且两级优化模型的适用范围、求解速度及其精度优于遗传算法.
Based on the analysis of a certain engineering example（Xinzhuang entrances-Zhoukou） which belongs to the middle of South-North Water Transfer Project,adopt two-level optimal design due to optimization algorithm and genetic algorithms respectively to optimize the diameter to find the smallest investment.Simulation results show that the application of the two kinds of algorithms can be realized for the long-distance pipeline optimization which is of long trunk pipe and short branch,also effectively save the money and make great contributions to the practice.
出处
《河南科学》
2011年第6期710-713,共4页
Henan Science
关键词
长距离
引水管道
管径
优化
造价
long-distance
pipeline
diameter
optimization
cost
