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《应用地球物理(英文版)》 2009-02
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Swarm intelligence optimization and its application in geophysical data inversion

Yuan Sanyi,Wang Shangxu,and Tian Nan 1.CNPC Key Laboratory of Geophysical Exploration,Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum,Beijing 102249,China.  
The inversions of complex geophysical data always solve multi-parameter,nonlinear, and multimodal optimization problems.Searching for the optimal inversion solutions is similar to the social behavior observed in swarms such as birds and ants when searching for food.In this article,first the particle swarm optimization algorithm was described in detail,and ant colony algorithm improved.Then the methods were applied to three different kinds of geophysical inversion problems:(1) a linear problem which is sensitive to noise,(2) a synchronous inversion of linear and nonlinear problems,and(3) a nonlinear problem.The results validate their feasibility and efficiency.Compared with the conventional genetic algorithm and simulated annealing,they have the advantages of higher convergence speed and accuracy.Compared with the quasi-Newton method and Levenberg-Marquardt method,they work better with the ability to overcome the locally optimal solutions.
【Fund】: supported by the 973 Program(Grant No 2007CB209600);; Open Fund(No.GDL0706) of the Key Laboratory of Geo-detection(China University of Geosciences Beijing) Ministry of Education
【CateGory Index】: P631
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