通过用粒子群算法代替混沌序列优化算法的细搜索, 可以提高算法的收敛速度及精度。将混沌粒子群混合算 法用于分析抽水试验数据, 估计各向异性含水层参数, 可以有效解决各向异性函数优化问题。与其他算法比较, 混 沌粒子群混合算法其具有计算精度高、与实测数据拟合效果好及寻优率高等优点。为估计各向异性含水层参数及 建立相应的预测和评估模型提供了操作简单、高效且准确的方法。

Using the particle swarm alg or ithm can increase the converg ence speed and pr ecision of t he a lg orithm compared with the optimizatio n search of chaos sequence. T he chao s particle sw arm alg or ithm was used to analy ze the pumping t est dat a and to estimate the anisot ropic aquifer par ameters, w hich can resolve the optimizatio n pr oblems of anisotr opy function. Compared with other algo rit hms, the chaos particle swam alg or ithm has hig h calculation precisio n, fit well w ith the measured r esults, and has high o ptimizat ion rate. This metho d pro ves to be simple, efficient, and accurat e to estimate anisotr opic aquifer parameter s and to develop a cor respo nding pr ediction and evaluation model.

国家自然科学基金资助项目( 11171043)