Gravity Data Inversion Based Genetic Algorithm and Generalized Least Squares

摘要：

Geophysical optimized inversion of gravity data using genetic algorithm (GA) still faces some problems. It often divert to the local solution, causing premature convergence. Here, we present an optimized inversion method based genetic algorithm and generalized least squares (GLS) to estimation the model parameters of geological bodies. The synthesized gravity data is given for testing the performance of the proposed method. It outperforms single GA in accuracy and GLS in convergence speed.

关键词： geophysical optimized inversion gravity genetic algorithm generalized least squares

作者: Ning Qiu Qingsheng Liu Quanye Gao

作者单位: Institute of Geophysics and Geomatics China University of Geosciences Wuhan,430074,China Department of Control Science and Engineering Huazhong University of Science & Technology Wuhan,4300

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 891-893

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）