中文摘要：

随着灰度等级的提高和平板显示器尺寸的增大，而传统的扫描方式扫描效率不高，导致帧频急剧上升。子空间按位扫描策略有效地解决了该问题．但随着灰度级的增大，采取直接搜索法获取该优化策略对应的扫描矩阵变得不可实现，为此介绍了一种采用遗传算法搜索高灰度级权值扫描矩阵的方法，并针对遗传算法的局部收敛缺陷，根据遗传进程的白适应特性对遗传算子进行动态调整，成功而快速地搜索到64级灰度的线性权值扫描矩阵。

英文摘要：

With the increase of gray scale and FPD size, scanning efficiency of the traditional scanning method is not high, so it will dramatically increase frame frequency. It can be resolved by using Subspace Bitwise Scanning strategy. As gray scale increasing, the direct seareh method to obtain corresponding scanning matrix of the Optimization strategy becomes unable to realization. So this paper introduces a method using genetic algorithm to search high gray scale weights scanning matrix. In order to avoid local convergence of genetic algorithm, this paper dynamically adjusts the genetic operators according to the adaptability of the genetic process and has got 64 gray scales fast and successfully.