混沌-模拟退火算法在确定河流水质参数中的应用  

Chaotic-Annealing Algorithm for Parameter Identification of River Water Quality Model

作　　者：张艳杰[1] 郭建青[2] 王洪胜[2] 

机构地区：[1]长安大学特殊地区公路工程教育部重点实验室,西安710064 [2]长安大学,西安710054

出　　处：《中国农村水利水电》2006年第1期38-41,共4页China Rural Water and Hydropower

基　　金：中国科学院知识创新工程重要方向项目(KZCX3-SW-326)

摘　　要：将以混沌变量作为新状态产生器的模拟退火法应用于求解分析河流水团示踪试验数据,确定河流水质参数的函数优化问题。针对标准SA算法收敛速度缓慢的弱点,采取在内循环中增加记忆功能等改进措施,得到了满意的参数优化计算结果。The chaotic-simulation annealing method, in which chaotic sequence is taken as new state generator in stead of random number generator in standard simulation annealing algorithm （SA algorithm）, is applied in the analyses of the experimental data of river water quality test and to identify and optimize such water quality parameters as longitudinal dispersion coefficient, average flow velocity. The measure of adding memory function in inner loops is taken to improve the convergence of standard SA algorithm. The results of simulation show that the measure of adding memory function in inner loops is very effective and the improved algorithm may give better optimization results of water quality parameters.

关 键 词：混沌-模拟退火法 河流水质参数 参数优化估计 算法改进 算法控制参数 

分 类 号：TV121.4[水利工程—水文学及水资源]