湖南大学学报（自然科学版）2017，Vol.44Issue(4)：102-108,7.DOI:10.16339/j.cnki.hdxbzkb.2017.04.014
改进遗传算法的CSAMT一维反演
CSAMT One-dimensional Inversion Based on Modified Genetic Algorithm
摘要
Abstract
The traditional method of controlled source audio frequency magnetotelluric (CSAMT) inversion is linear or locally linear,and most of them depend on the initial model.The genetic algorithm is applied to the CSAMT inversion because it does not depend on the initial model.However,the standard genetic algorithm has some problems such as premature convergence and local convergence.The standard genetic algorithm was improved,and the selection operator based on the ranking method and the optimal reservation strategy was used to enhance the diversity of the population and to ensure its convergence;The crossover operator,which is based on the combination of the father and son competition strategy and the adaptive probability method,can prevent the good parent from being eliminated,and has the adaptability.The simulation results show that the improved genetic algorithm is better than the standard genetic algorithm in the one-dimensional inversion of CSAMT.The inversion of the measured data is consistent with the geological data,which proves the adaptability of the improved genetic algorithm.关键词
可控源音频大地电磁/反演/改进遗传算法Key words
controlled source audio-frequency magnetotellurics (CSAMT)/inversion/modified genetic algorithm分类
天文与地球科学引用本文复制引用
孙彩堂,李玲,王雪,黄维宁,周逢道..改进遗传算法的CSAMT一维反演[J].湖南大学学报（自然科学版）,2017,44(4):102-108,7.基金项目
吉林省科技厅发展计划重点项目(20100349),The Key Projects of Sciemce and Technology Development Plan of Jilin Province (20100349) （20100349）
国家潜在油气资源产学研用合作创新研究项目(OSR-02),National Potential Oil and Gas Resources with Cooperation Innovation Projects of Production(OSR-02) （OSR-02）
