基于智能群体优化算法的给水管网漏损定位

Leakage location of water supply network based on swarm intelligent optimization algorithm

针对城市给水管网漏失定位困难的问题,采用模糊聚类方法对压力监测点进行了优化布置,并在压力在线监测的基础上建立了管网漏损定位模型.利用蚁狮优化算法和粒子群优化算法两种智能群体优化算法对模型进行求解,并以华北某沿海城市的某工业区给水管网为算例,分析对比了两种算法的运行情况.结果表明,在漏损定位问题上,蚁狮优化算法具有更强的全局优化能力,更高的搜索效率.

In view of the difficulty in locating the leakage of urban water supply network,fuzzy clustering was used to optimize the layout of pressure monitoring points,then the leakage location model of water supply network was established based on pressure monitoring.Two swarm intelli-gent optimization algorithms,ant lion optimization and particle swarm optimization were used to solve the model,and the water supply network in an industrial area of a coastal city in North China was taken as an example to analyze and compare the operation of the two algorithms.The results show that the ant lion optimization algorithm has stronger global optimization ability and higher search efficiency in the problem of leakage location.