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A study of 2-D magnetotelluric quantum genetic inversion algorithm based on subspace
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
2011-10-01
发表期刊CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
ISSN0001-5733
卷号54期号:10页码:2682-2689
文章类型Article
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.
关键词Mt 2d Inversion Quantum Genetic Algorithm Sliding Subspace
学科领域Geochemistry & Geophysics
DOI10.3969/j.issn.0001-5733.2011.10.025
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收录类别SCI
语种英语
WOS记录号WOS:000296410000025
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/11485
专题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
第一作者单位中国科学院海洋研究所
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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.
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