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《Chinese Journal of Geophysics》 1999-S1
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STOCHASTIC JOINT INVERSION IN GEOPHYSICS

WANG YUN WANG MIAO-YUE PENG SU-PING 1) China University of Mine and Technology, Beijing 100083. China 2) Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100101, China)  
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.
【CateGory Index】: P3
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