遗传算法在瑞雷波频散曲线反演中的应用研究

Application of genetic algorithm in inversion of Rayleigh wave dispersion curves

为解决现有瑞雷波频散曲线反演计算方法的局限性,可将遗传算法用于反演中。首先使用传统方法给出初始模型,以确定模型参数的搜索范围,之后利用遗传算法反演,最后得到一个能可靠反映地下介质分布的地下介质模型。运用该模型对实测资料反演分析,以检测其实用性,并与传统方法对比以考察其优越性。结果表明:采用遗传算法对瑞雷波频散曲线进行反演是可行的,并能得到较好的反演效果。

The genetic algorithm is applied for mitigating the limitation of inversion calculation method of Rayleigh wave dispersion curves. The initial model is given by the traditional method to determine the hunting zone of model parameters. Finally,it is possible to develop the model that can reflect the distribution of underground mediums by using the genetic algorithm inversion.According to this model,the measured data is inversely analyzed so as to examine its practicability and superiority. The results indicate that the Rayleigh wave dispersion curve inversed by the genetic algorithm is reasonable.