一种基于自适应遗传搜索策略的地磁匹配算法研究

针对如何进行精确地磁匹配定位问题,提出一种基于自适应遗传搜索策略的地磁匹配算法。首先选择地磁异常场作为匹配特征量;然后从染色体编码、适应度函数以及遗传操作3个方面对自适应遗传算法进行阐述,给出基于自适应遗传搜索策略的地磁匹配算法流程;最后通过仿真分析白噪声、种群大小以及进化代数对地磁匹配结果的影响。研究结果表明:当地磁测量信号含有白噪声时,定位精度可以控制在一个网格(100 m×100 m)内;当种群大小达到70和进化代数达到200代时,定位误差和匹配概率趋于稳定;该算法在定位精度和匹配概率上比传统地磁匹配算法有所提高,并且随着噪声的增加这种优势愈发明显。

Research on Geomagnetic Matching Algorithm Based on Adaptive Genetic Searching Strategy

A new algorithm of geomagnetic matching based on adaptive genetic algorithm is proposed for precision positioning of geomagetic matching.Firstly,geomagnetic anomaly intensity information is selected as the matching features,and then,genetic algorithm is described from three aspects of chromosome,fitness function and genetic operation,and the process of the geomagnetic matching algorithm based on adaptive genetic algorithm is given.Finally,the geomagnetic matching results are analyzed through the simulation experiment based on the three aspects of the white noise,population size and evolution generation.The results show that when the geomagnetic signal contains white noise,the matching errors of the algorithm can be controlled in one gridding(100 m×100 m),and when the population size reaches 70 and the evolution generation reaches 200,positioning error and matching probability tend to be stable.Positioning error and matching probability of the new algorithm are higher than traditional algorithm,especially with the white noise increasing.