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.
遗传运算参数中的交叉和变异概率随种群结构特征动态变化。
And the probability of crossing and aberrance would be dynamically changed with the structure of population.
提出了一种新的变异算法，有效避免了路径重复，减小了运算量，提高了运算速度。
A new variation algorithm was described, which avoided the duplication of the paths, reduced the computation and improved the operation speed.
提出了一种新的变异算法，有效避免了路径重复，减小了运算量，提高了运算速度。
A new variation algorithm was described, which avoided the duplication of the paths, reduced the computation and improved the operation speed.
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