| 地球物理随机联合反演 |
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| 引用本文： | 王赟,王妙月,彭苏萍.地球物理随机联合反演[J].地球物理学报,1999,42(Z1):141-151. |
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| 作者姓名： | 王赟 王妙月 彭苏萍 |
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| 作者单位： | 1. 中国矿业大学(北京)信息处理中心 北京 100083;
2. 中国科学院地球物理研究所 北京 100101;
3. 中国矿业大学(北京)地质系 北京 100083 |
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| 摘 要： | 基于场方程的地球物理联合反演隐含着两个基本过程:正演的联合与反演的联合。当用遗传算法解决这类问题时,它蕴含着一个反演的随机联合的过程,称之为随机联合反演。借鉴模拟退火和禁区搜索方法的思想,通过对遗传操作对象、操作过程以及迭代过程的改进,使改进后的遗传算法表现较快的收敛速率和良好的全局收敛性;通过模型数据的反演,从理论上证明改进的遗传算法能较好地解决非线性、复杂、大尺度离散反问题,使随机联合反演问题的解决成为可能。
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| 关 键 词： | 地球物理联合反演 改进的遗传算法 随机联合反演 模拟退火 禁区搜索 |
| 收稿时间： | 1999-04-30 |
STOCHASTIC JOINT INVERSION IN GEOPHYSICS |
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| WANG YUN WANG MIAO-YUE PENG SU-PING.STOCHASTIC JOINT INVERSION IN GEOPHYSICS[J].Chinese Journal of Geophysics,1999,42(Z1):141-151. |
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| Authors: | WANG YUN WANG MIAO-YUE PENG SU-PING |
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| Institution: | 1. China University of Mine and Technology, Beijing 10008;
3. China;
2. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | Geophysical joint inversion, based on field equations, consists of two primary parts: joint modeling and joint inversion. When genetic algorithm （GA） is applied to solve the geophysical problems, it is a method of stochastic joint inversion in "fact. We modified the. convenient GA, including the genetic objects, operations and iteration, and made it a faster iteration and better global convergency, according to the principles of simulated annealing （SA） and taboos search （TSS）. After applications in modeling data, it is proved that the modified GA can solve the large-scale,non-linear, discrete and complex problems, with which the problem of joint inversion may be solved. |
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| Keywords: | Geophysicaljointinversion ModifiedGA Stochasticjointinversion SA TSS |
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