智能优化算法应用于泰斯模型时,需要预估待求参数的搜索范围.为降低预估难度,将具备广度搜索优势的入侵杂草优化算法引入到泰斯模型中,通过分析入侵杂草优化算法在广度搜索空间中运用泰斯公式的局限性,变算法标准差的静态设置为动态调整,提出并构建改进的入侵杂草优化算法运用泰斯公式模型.应用该模型处理三个不同尺度非稳定流抽水试验.研究结果表明:改进的入侵杂草优化算法能在广度搜索空间中高效运用泰斯公式反演出接近实际的导水系数和贮水系数.
It is necessary to estimate the search range of parameters, when intelligent optimization algorithm is applied to Theis's model. In order to reduce the difficulty in estimating the search range, IWO algorithm is applied, which has the advantage of wide search for Theis's model. Through analyzing the limitation of using Theis's equation with the application of IWO algorithm in the case of wide search area, the static settings of standard deviation is changed to dynamic modulation, the model of using Theis's equation with the application of the modi-fied IWO algorithm is proposed. This model is applied to deal with three different scale unsteady flow pumping tests. The results prove that u-sing Theis's equation with the application of the modified IWO algorithm in the case of wide search area can efficiently obtain the transmissivi-ty and storativity, which are close to the actual values.