摘要
污水厂费用函数的建立是城市污水厂建设规划中的重要环节之一。为了探索建立该函数的有效方法,本研究采用遗传算法,用收集到的若干污水厂的设计建设费用,进行污水厂费用函数的参数估计,并用牛顿法及其改进方法与其进行比较,结果显示遗传算法的拟合效果优于比较方法,说明运用遗传算法进行污水厂费用函数拟合是可行的。
Establishing cost function of the sewage plants is an important part of sewage plant planning. In order to exploring an effective method of establishing this cost function, Genetic Algorithm （GA） is used in this research to estimate the parameters of the cost function, based on collected data of construction cost of some sewage treatment plants. Newton Method and its improved method, Levenberg-Marquardt Method, are used to compare with GA. The result shows that the fitting effect of the genetic algorithm program is the best. The conclusion is drawn that genetic algorithm is feasible for fitting the cost function of sewage treatment plants.
出处
《四川环境》
2007年第6期123-126,共4页
Sichuan Environment
关键词
遗传算法
污水厂
参数估计
函数拟合
Genetic Algorithm
sewage treatment plant
parameter estimation
function fitting
