MT data inversion based on improved cuckoo search algorithm

被引：0
|
作者：
Wang P. [1 ]
Wang S. [1 ]
机构：
[1] Institute of Geophysics & Geomatics, China University of Geosciences(Wuhan), Wuhan, 430074, Hubei
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2020年 / 55卷 / 01期
关键词：
Improved cuckoo search algorithm; Magnetotelluric; Particle swarm optimization; Simplex method;
D O I：
10.13810/j.cnki.issn.1000-7210.2020.01.025
中图分类号：
学科分类号：
摘要：
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. © 2020, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
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页码：217 / 225
页数：8
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