MAGNETOTELLURIC INVERSION BASED ON DIFFERENTIAL EVOLUTION
XIONG Jie1,2, MENG Xiao-hong1, LIU Cai-yun1, PENG Miao1
1. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China;
2. Electronics and Information School of Yangtze University, Jingzhou 434023, China
Abstract: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.