分析了车式移动机器人的运动特性，设计了一种适用于该机器人的路径发现与规划免疫算法。
This paper analyzes the moving characteristic of the car like moving robot. And the immunity algorithm to solve the moving path finding and optimizing is designed.
分析实验结果发现，不相交路径权值累积算法能有效计算网络成员关联度。
Disjoint paths weight accumulating algorithm is proved to be effective in correlation computing by analyzing the results of the experiments.
在发现中，结合存储网络的实际特点提出IP路径合并算法，并进行拓扑结构规整。
In discovery process we brought forward IP path merge and trim algorithm fitting the features of storage network.
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