针对大地电磁线性迭代反演依赖初始模型,易陷入局部最优解的特点,设计一种基于差异进化的非线性反演方法。利用该方法对大地电磁一维层状介质G、H、HA型地电模型进行反演研究,在无噪声情况下反演结果和模型一致;在加入10%和20%噪声后,反演仍取得良好效果。数值实验结果表明,该反演方法不依赖于初始模型,具有较好的全局优化能力和抗噪声能力,能有效反演大地电磁数据。
This paper proposes a differential evolution inversion algorithm in order to avoid the dependency on the initial model and the local solution.Applying this algorithm to magnetotelluric inversion on 1D layered geo-electrical models of G,H and HA yields consistent results with the models in the noise-free case.When noises of 10% and 20% are added to the models,the results of inversions remain fairly good.Numerical experiment results demonstrate that this differential evolution inversion algorithm is independent of initial models,capable of global optimization and anti-noise,and makes MT data inversion more effective.