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 swa...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.展开更多
电磁模拟与反演研究组（Consortium for Electromagnetic Modeling and Inversion, CEMI）是由Hohmann教授于25年前在Utah大学地质与地球物理系设立的一个应用地球物理电磁学的研究与教育计划，1995以来，CEMI的负责人为Zhdanov教授。C...电磁模拟与反演研究组（Consortium for Electromagnetic Modeling and Inversion, CEMI）是由Hohmann教授于25年前在Utah大学地质与地球物理系设立的一个应用地球物理电磁学的研究与教育计划，1995以来，CEMI的负责人为Zhdanov教授。CEMI一直致力于重力、磁法以及电磁模拟与反演方法的研究与开发，目的是准确高效地分析采自复杂构造的地球物理资料。展开更多
基金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
文摘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.
文摘电磁模拟与反演研究组（Consortium for Electromagnetic Modeling and Inversion, CEMI）是由Hohmann教授于25年前在Utah大学地质与地球物理系设立的一个应用地球物理电磁学的研究与教育计划，1995以来，CEMI的负责人为Zhdanov教授。CEMI一直致力于重力、磁法以及电磁模拟与反演方法的研究与开发，目的是准确高效地分析采自复杂构造的地球物理资料。
