变异运算用来模拟生物在自然的遗传环境中由于各种偶然因素引起的基因突变，它以很小的概率随机地改变遗传基因(表示染色体的符号串的某一位)的值。
采用交叉和柯西变异运算，提高了算法的收敛速度和精度。
The crossover operation and cauchy mutation operation are used to enhance the convergence performance and speed of the algorithm.
该算法使用数组方式编码染色体，并采用非常规码的交叉和变异运算因子。
It encodes the chromosome as an array of integers, and USES irregular crossover and mutation operations.
在交叉运算后，增加一次适应度的计算，通过计算后的适应度来决定个体的变异范围；
Second, the aberrance scope is obtained according to the fitness which is calculated from the operation after crossover.
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