改进的布谷鸟MT反演算法

由于大地电磁（MT）数据的反演是高度非线性的，传统的全局优化算法收敛速度慢，且易陷入局部极值。为此，提出一种结合单纯形法的全局布谷鸟算法（ICS）反演MT数据。针对布谷鸟算法（CS）精于探索、疏于开发的特点，引入粒子群算法中的全局最优解，加强算法的局部搜索能力；同时结合单纯形法对较差鸟巢进行改进，进一步提高寻优精度。理论和实测数据反演结果表明，改进后的算法反演结果更稳定，收敛速度更快，求解精度更高。

MT data inversion based on improved cuckoo search algorithm

Due to the high non-linearity of the magnetotelluric(MT) data inversion,conventional global optimization algorithms converge slowly and easily to local optimum.To solve this problem,an improved cuckoo search(ICS) algorithm combined with simplex method was proposed in this paper to realize MT data inversion.For cuckoo search(CS) algorithm is advantageous in exploration but dis-advantageous in development,the global optimal solution in particle swarm optimization was introduced to improve the local search performance.Simplex method was also used to improve the bird's nest,in order to enhance optimization precision further.The inversion results of theoretical model and real data demonstrated that ICS has higher stability,faster convergence rate and higher accuracy than CS.