通过具体算例，将非线性最小二乘法和遗传算法的结果，分别进行了比较。
The result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
用最小二乘法建立曲面匹配的目标函数，并用遗传算法进行求解。
The matching function was built by the Least Squares method, and it was solved by the genetic algorithms.
应用遗传算法解决非线性最小二乘模型参数估计问题。
Solved the nonlinear Least square problem based on Genetic Algorithms.
本文首先将两种匹配算法即金字塔分层匹配和基于遗传算法的影像匹配运用于全自动内定向中框标点的预匹配，再利用最小二乘匹配进行框标点的精匹配。
This paper applies two matching algorithms in the initial matching of the frame point of automatic interior orientation and LSM is used for the precise matching of frame points.
通过仿真实验发现，遗传算法能很快的将摄像机参数的取值缩小到一个有效范围内，而最小二乘法的应用有效的提高了算法的整体收敛性能。
The simulation result shows that GA can effectively reduce the parameters 'value to a small range, and the application of the least square method improves the convergent efficiency.
为在电阻率测深曲线反演中得到全局最优解，采用先使用遗传算法再用最小二乘法反演方法，对较为复杂的3层和3层以上大地模型进行了计算，其模型参数误差只有6%。
It is shown from the computations that the joint method inherits both the advantages of GA and least square. The model errors of inverting 3 or more strata layered earth are 6% less.
为在电阻率测深曲线反演中得到全局最优解，采用先使用遗传算法再用最小二乘法反演方法，对较为复杂的3层和3层以上大地模型进行了计算，其模型参数误差只有6%。
It is shown from the computations that the joint method inherits both the advantages of GA and least square. The model errors of inverting 3 or more strata layered earth are 6% less.
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