遗传算法在环状给水管网优化设计中的应用  

Application of Genetic Algorithm in the Annular Pipe Network Optimal Design

作　　者：黄明[1] 朱正南[1] 

机构地区：[1]安徽建筑大学,安徽合肥230601

出　　处：《皖西学院学报》2015年第2期134-138,共5页Journal of West Anhui University

摘　　要：在给水工程总投资中,给水管渠和管网所占费用一般占到工程总投资的70%~80%,在工程资金投入有限的情况下,进行管网系统的优化设计对于提高供水系统的经济效益和社会效益具有十分重要的意义。该领域未使用计算机进行计算之前,管网平差往往意味着巨大的工作量,精度不高,特别是中大型管网,计算的难度增大,可供选择的优化方案少,更改方案时工作量巨大,采用的方案并不能保证是最优的。基于标准遗传算法,结合实际工程,运用计算机进行管网的平差计算,同时,在目标函数中引入了流速约束和流量约束,加快了算法的收敛速度和管径组合的合理性。研究成果可为管网的优化提供很好的参考作用。In water supply engineering of overall investment, Water supply and drainage pipe network share costs typically account for 70% to 80% of total project investment, Under limited circumstances funding project, it is make sense to optimize the design of the pipe network system to improve the economic and social benefits for the water supply system is very important. Before the computer enter the field, pipe network adjustment often means a huge amount of work, accuracy is not high, especially in large scale network, the difficulty of calculating increase, less choice of optimization, when you change the program, it is a huge workload, the program does not guarantee the use of optimal solutions. Based on the standard genetic algorithm, Combined with practical engineering, the use of computer network adjustment calculation, meanwhile, introduced in the objective function and flow velocity constraint bound to accelerate the convergence speed and the diameter of rationality combination algorithm. Results of this study may provide a good reference for optimizing the pipe network.

关 键 词：遗传算法 环状给水管网 优化设计 罚函数 

分 类 号：TU991.36[建筑科学—市政工程]