和声搜索算法在坐标转换中的应用

Application of Harmony Search Algorithm in Coordinate Transformation

针对最小二乘算法在处理坐标转换存在准则单一这一问题,本文提出一种思想,将和声搜索算法加入最小二乘坐标转换模型中,从而使传统坐标转换这一P类问题,转换为NP类问题。通过不断迭代使其结果趋近于所设定的函数解,从而实现解的多样性。本文以方向精度最优为例,分别采用模拟数据和实测点云数据来验证本文思想。结果表明,在求某一方向精度时将和声搜索算法加入模型中会提高方向精度,加权后也可以保证其垂直方向一定的精度。

Aiming at the problem that the least squares algorithm has a single criterion when dealing with coordinate transformation,this paper proposes an idea to add an intelligent optimization algorithm to the least square coordinate transformation model,so that the traditional polynomial problem of coordinate transformation is converted to the Non-polynomial problem.Through continuous iteration,the results approach the set function solution,so as to realize the diversity of the solution.In this paper,taking the best direction accuracy as an example,the simulation data and the measured point cloud data are used to verify the idea of this paper.The results show that HS algorithm is added to the model,the direction accuracy can be improved,and the vertical direction accuracy can be guaranteed after weighting.