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本文通过对带有门限变换函数的基因算法的研究，进一步研究了不同的门限值和门限宽度的选择方法．通过对算法思想的应用和计算机模拟，分析这些方法对算法性能的影响。并指出在我们的应用中GH的顾序选取法优于其它的方法。通过应用门限变换思想可以明显地使算法集中于有希望找到解的区域进行搜索．提高了算法的性能。
In this paper, we study the genetic algorithm with threshold transformation function to further study the selection methods of different thresholds and threshold widths. Through the application of algorithm ideas and computer simulation, the impact of these methods on the performance of the algorithm is analyzed. And pointed out that GH sequence selection is superior to other methods in our application. By applying the threshold transform idea, the algorithm can obviously be focused on the areas where there is hope to find solutions. Improve the performance of the algorithm.