New weighted coefficients of the average-derivative modeling method based on global optimization algorithms
文献类型:期刊论文
作者 | He, Chen1,2,3; Chen, Jing-Bo1,2,3 |
刊名 | ACTA GEOPHYSICA
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出版日期 | 2023-05-26 |
页码 | 18 |
关键词 | Numerical modeling Average-derivative method Global optimization Simulated annealing algorithm Particle swarm optimization algorithm |
ISSN号 | 1895-6572 |
DOI | 10.1007/s11600-023-01114-4 |
英文摘要 | The average-derivative optimal method (ADM) is widely applied in frequency-domain forward modeling for its high accuracy and simplicity. Since tuning weighted coefficients can suppress the numerical dispersion, it is extremely important to adopt a suitable optimization algorithm to determine the ADM coefficients. To date, most schemes associated with the ADM have adopted the conventional local optimization algorithms, which are sensitive to the initial value and easy to converge on local optimum. The motivation of this paper is to derive new and more accurate ADM coefficients for 2D frequency-domain elastic-wave equation by the global optimization algorithms, which can escape from the local optimum with a certain probability. We adopt simulated annealing (SA) and particle swarm optimization (PSO) algorithms for global optimization and numerical modeling. Compared with the conventional local optimization algorithm, the global optimization algorithms have smaller phase errors, especially for S-wave phase velocity. Numerical examples demonstrate that the global optimization algorithms produce more accurate results than the local optimization algorithm. |
WOS关键词 | FINITE-DIFFERENCE SCHEMES ; FREE-SURFACE EXPRESSION ; WAVE-PROPAGATION ; FREQUENCY-SPACE ; 17-POINT SCHEME ; EQUATION ; MEDIA |
资助项目 | National Natural Science Foundation of China[42074159] ; National Natural Science Foundation of China[41874163] |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
WOS记录号 | WOS:000995329600002 |
出版者 | SPRINGER INT PUBL AG |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/110957] ![]() |
专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
通讯作者 | Chen, Jing-Bo |
作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | He, Chen,Chen, Jing-Bo. New weighted coefficients of the average-derivative modeling method based on global optimization algorithms[J]. ACTA GEOPHYSICA,2023:18. |
APA | He, Chen,&Chen, Jing-Bo.(2023).New weighted coefficients of the average-derivative modeling method based on global optimization algorithms.ACTA GEOPHYSICA,18. |
MLA | He, Chen,et al."New weighted coefficients of the average-derivative modeling method based on global optimization algorithms".ACTA GEOPHYSICA (2023):18. |
入库方式: OAI收割
来源:地质与地球物理研究所
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