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文章信息/Info

作者:: 潘纪顺¹; 2; 唐杰³; 刘越²; 潘素珍²; 田晓峰²; 吕芝全¹; 李莉²; (1.华北水利水电学院,郑州 450011; 2.中国地震局地球物理勘探中心,郑州 450002; 3. 河南有色金属地质矿产局第三地质大队, 河南南阳 474250)

Author(s):: PAN Ji-shun¹; 2; TANG Jie³; LIU Yue²; PAN Su-zhen²; (1.North China Institate of Water Conservation and Hydroelectric Power,Zhengzhou 450011, Henan, China; 2. Geophysical Exploration Center, CEA, Zhengzhou 450002, Henan, China)(3. The 3rd Team of Henan Nonferrous Metal Geologic Minerals Bureau, Nanyang 474250, Henan, China)

Keywords:: multiscale successive approximation; tomography of seismic traveltime; SAGA; A'nyemaqen suture zone

摘要:: 根据多尺度逐次逼近思想,建立了多尺度逐次逼近退火遗传算法。该方法能有效地解决遗传算法中存在的收敛“早熟”问题。采用该方法对一个高速异常体进行了数值模拟试验,并对青藏高原东北缘阿尼玛卿缝合带东段上部地壳速度结构实际资料进行了处理,结果表明,多尺度逐次逼近退火遗传算法能够较好地应用于地震走时层析成像研究。

Abstract:: SAGA is a combined algorithm of Simulated Annealing(SA)and Genetic Algorithm(GA). The method has the feature of higher searching efficiency than SA or GA alone, but can not radically solve the problem of convergence prematurity of GA. The multiscale SAGA algorithm, which is based on multiscale successive approximation, can effectively solve the problem. We used the method to reconstruct an anomalous high-velocity body in a numerical test model, and to study the upper crustal structure characteristics of the eastern segment of the A'nyemaqen suture zone. Both test and practical application prove that the multiscale SAGA is a good tool for seismic tomography.