利用混沌优化算法确定河流水质模型参数

Chaotic optimization for parameter estimation of water quality model of river

应用混沌序列优化算法求解分析一维河流水团示踪试验数据 ,确定水质参数的函数优化问题。就算法控制参数对细搜索次数的影响进行了数值实验。结果表明 :( 1)该算法可以有效地应用 ;( 2 )过大的序列长度不能有效地缩短计算时间 ;( 3 )粗搜索次数对算法的收敛性影响不大 ;( 4 )

With Chaotic optimization algorithm,the function optimization problem for analyzing the experiment data of water quality of river stream to estimate the longitudinal dispersion coefficient,average stream velocity and the other parameter is presented in this paper.With different key parameters of algorithm,simulation experiment is conducted to explore the effect of these key parameters on the convergence of algorithm.These results show that:(1) the algorithm may be successfully applied to determine water quality parameters,(2) the convergence of algorithm can not be improved by the larger sequence,(3)there is no obvious relation between the time of coarse search and that of fine search,(4) the initial values of water quality parameters can not affect on the convergence of algorithm.