基于SA-CMA-ES混合策略的重力梯度断层参数反演研究OA

This paper presents a gravity-gradient inversion method for fault-model parameters that integrates the covariance matrix adaptation evolution strategy(CMA-ES)with simulated annealing(SA).To mitigate the boundary-effect problem of CMA-ES in bounded parameter spaces,SA is introduced to perform a coarse global search,thereby broadening the search space and improving convergence behavior.Tests on single-fault and complex three-fault models under noise-free conditions and various Gaussian noise levels(10%and 20%)demonstrate that the hybrid strategy combines the global search capability of SA with the adaptive local-search advantage of CMA-ES,exhibiting excellent convergence and stability while significantly enhancing inversion efficiency.Application of this method to the inversion of EGM2008 differential-curvature gravity-gradient data in the Thrace basin,Turkey,yields geometric parameters such as fault dip angles that agree well with seismic data and previous research findings,with computational efficiency being substantially improved.The results indicate that the proposed method enables qualitative to semi-quantitative interpretation of buried-fault param-eters,offering a new technical approach for investigating regional fault-structural characteristics.