Particle swarm optimization and least squares method for geophysical parameter inversion from magnetic anomalies data

摘要：

The geophysical parameter inversion from magnetic anomalies data usually faces a non-linear optimization problem with multi-variable, multiobjective function extremum, multi-solution and so on. Therefore, it is necessary that the more stable and efficient algorithms is used in the geophysical inversion. Particle swarm optimization (PSO) has been used in the geophysical inversion. However, for highdimensional, multi-peak function problems in magnetic anomalies data inversion, the effect using PSO method is not good, and it easy to fall into the local minimum. In this paper, we propose PSO and least squares method (LS) to solve magnetic anomalies data parameter optimized inversion. This method exploited to initialize non-linear parameter estimation using by PSO, and LS is used for accurate local search. We compare the results from PSO and proposed PSO-LS to invert the synthesized potential field. The results show that PSO-LS outperform PSO in terms of accuracy.

关键词： magnetic anomalies geophysical inverse problems particle swarm optimization least squares method

作者: Ning Qiu Qingsheng Liu Zuoxun Zeng

作者单位: Three Gorges Research Center for Geohazard, Ministry of Education of P R China Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 879-881

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）