识别含水层参数的单纯形-混沌优化算法  

Simplex-chaos Optimization Algorithm for Aquifer Parameter Estimation

作　　者：袁华[1] 张玉海[1] 

机构地区：[1]长安大学理学院,陕西西安710064

出　　处：《常熟理工学院学报》2014年第2期53-55,共3页Journal of Changshu Institute of Technology

摘　　要：以泰斯公式为基础,将单纯形-混沌优化算法应用于分析抽水试验数据,求解含水层参数函数优化问题.采用具有搜索速度快、局部搜索能力强等优点的单纯形算法与全局搜索能力强的混沌优化算法结合的单纯形-混沌优化算法.数值实验结果表明:单纯形-混沌优化算法可有效地应用于求解含水层参数函数优化问题;待估参数导水系数的初始取值范围、粗搜索次数和混沌序列长度对算法的收敛速度有一定的影响,但不会影响算法的收敛性.Based on theis formula, the simplex-chaos optimization algorithm is applied in the analysis of the pumping experiment date to estimate the aquifer parameters. Such measures as adding simplex algorithm into chaos optimization algorithm are taken to improve convergence of algorithm. The results of simulation show that the method can be successfully applied to solve the aquifer parameter function optimization problem. The initial value of conductivity, the length of chaotic time-series and times of coarse search have an influence on the con-vergence speed of the algorithm, but have no effect on the final result of computation.

关 键 词：参数估算 抽水试验资料 混沌优化算法 单纯形法 混合算法 

分 类 号：TV211.12[水利工程—水文学及水资源]