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A study of 2-D magnetotelluric quantum genetic inversion algorithm based on subspace

文献类型：期刊论文

作者Fan Jian-Ke1,2; Shi Xue-Ming3; Wu Shi-Guo1; Shi Jian4,5; Fan, JK (reprint author), Chinese Acad Sci, Key Lab Marine Geol & Environm, Inst Oceanol, Qingdao 266071, Peoples R China
刊名CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
出版日期2011-10-01
卷号54期号:10页码:2682-2689
关键词Mt 2d Inversion Quantum Genetic Algorithm Sliding Subspace
ISSN号0001-5733
DOI10.3969/j.issn.0001-5733.2011.10.025
文献子类Article
英文摘要Quantum Genetic Algorithm is an excellent method. Nevertheless, there is a disadvantage to trap into the local minima for the conventional Quantum Genetic Algorithm. To advance the algorithm and probe the feasibility and effectiveness of the algorithm introduced into the magnetotelluric data 2D inversion, some improvements are made, whose effectiveness is testified through the inversion for 1D magnetotelluric two-layer (D-type) model and four-layer (HK-type) model. 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. Finally, the better result is also obtained for the field data.; Quantum Genetic Algorithm is an excellent method. Nevertheless, there is a disadvantage to trap into the local minima for the conventional Quantum Genetic Algorithm. To advance the algorithm and probe the feasibility and effectiveness of the algorithm introduced into the magnetotelluric data 2D inversion, some improvements are made, whose effectiveness is testified through the inversion for 1D magnetotelluric two-layer (D-type) model and four-layer (HK-type) model. 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. Finally, the better result is also obtained for the field data.
学科主题Geochemistry & Geophysics
URL标识查看原文
语种英语
WOS记录号WOS:000296410000025
公开日期2012-07-03
源URL[http://ir.qdio.ac.cn/handle/337002/11486]  
专题海洋研究所_海洋地质与环境重点实验室
通讯作者Fan, JK (reprint author), Chinese Acad Sci, Key Lab Marine Geol & Environm, Inst Oceanol, Qingdao 266071, Peoples R China
作者单位1.Chinese Acad Sci, Key Lab Marine Geol & Environm, Inst Oceanol, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
3.China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China
4.Minist Land & Resources, Key Lab Marine Hydrocarbon Resource & Environm Ge, Qingdao 266071, Peoples R China
5.Qingdao Inst Marine Geol, Qingdao 266071, Peoples R China
推荐引用方式
GB/T 7714		 Fan Jian-Ke,Shi Xue-Ming,Wu Shi-Guo,et al. A study of 2-D magnetotelluric quantum genetic inversion algorithm based on subspace[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2011,54(10):2682-2689.
APA Fan Jian-Ke,Shi Xue-Ming,Wu Shi-Guo,Shi Jian,&Fan, JK .(2011).A study of 2-D magnetotelluric quantum genetic inversion algorithm based on subspace.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,54(10),2682-2689.
MLA Fan Jian-Ke,et al."A study of 2-D magnetotelluric quantum genetic inversion algorithm based on subspace".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 54.10(2011):2682-2689.

入库方式： OAI收割

来源：海洋研究所

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