A Study of 2D Magnetotelluric Quantum Genetic Inversion Algorithm Based on Subspace

详细信息   

• 责任者：Fan Jianke (Key Laboratory of Marine Geology and Environment ; Institute of Oceanology ; Chinese Academy of Sciences ; Qingdao 266071 ; China) ; Shi Xueming
• 刊名：Chinese Journal of Geophysics
• 出版年：2011
• 卷期：54(10)
• 关键词：大地电磁测深 ; telluric electromagnetic sounding ; 遗传算法 ; genetic algorithms
• 页码：p.2682-2689
• 图表：3 illus., 4 tables, 22 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

摘要

To advance the  Quantum Genetic Algorithm  and probe the feasibility and  effectiveness of the algorithm introduced into the magnetotelluric data 2D inversion, some improvements are made. Then, the improved method is introduced into the magnetotelluric data 2D inversion. Based on the sliding subspace and the most simplified inversion condition, one typical 2D low resistivity model is inversed using the conventional Quantum Genetic Algorithm and the improved Quantum Genetic Algorithm, respectively. The results indicate that it is feasible and effective to apply the Quantum Genetic Algorithm to magnetotelluric 2D inversion based on the subspace method and the result from the improved method is better than the conventional method.