基于模式处理能力特点的遗传算法新应用

A New Application of Genetic Algorithms According to Their Schema-processing Efficiency

遗传算法从提出到现在都主要用于处理优化问题，而文章将根据遗传算法模式处理能力的特点给出其一种新的应用。文中首先分析了遗传算法模式处理能力的大小，指出遗传算法处理低阶、短定义距模式的能力要大于处理高阶、长定义距模式的能力。根据遗传算法的这个特点，指出可用遗传算法估计因子时指标的影响规律，并给出了计算实例。

Genetic algorithms have mainly been applied to optimization since their forthcoming. In this paper,a new applied of genetic algorithms is put forward according to their schema-processing efficiency. Their schema-processing efficiency is analyzed,and conclusions are drown that genetic algorithms are efficient in processing those schemata of lower orders and shorter defining lengths.while inefficient in processing those of higher orders and longer defining lengths. So they are suitable for'estimating the affections of factors to system performance. The calculation results of an example shaw ha they are effective in estimation.