遗传算法体现了生物进化中的四个要素，即繁殖、变异、竞争和自然选择。
Genetic algorithms shows four elements of biologic evolution: propagation, variation, competition and natural selection.
对于交互式遗传算法的问题，即缺乏评价的一种方法测量的不确定性的方法，方法与灰度级的离散健身提出来处理这个问题。
For the problem that interactive genetic algorithms lack a way of measuring the uncertainty of evaluation, a method with grey level for discrete fitness is proposed to deal with this problem.
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.
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.
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