训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中，从而加速了自适应信道估计器的收敛过程。
The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.
算法面向实际的运输网络，利用顶点间存在的路径关系，对个体进行优化，从而加速了算法收敛速度。
For a practical transport network, the algorithm used the relations among the points to optimize the individuals. Thus the procedure of the evolution was accelerated.
二是可以适当的选择位置、速度和加速度反馈增益矩阵，从而加快误差收敛速度；
Second, the rate of error convergence may be guaranteed rapidly by setting appropriate angular position, velocity and acceleration feedback gain Matrices;
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