仿真结果表明改进的蚁群算法能有效的寻找到一棵性能良好的组播树，并能够满足各种业务的服务质量需求。
The simulation results show the improved ant colony algorithm can effectively find a good performance multicast trees, and meet the business needs of the quality of service.
基于这种情况提出了一种改进的蚁群算法，该算法采用基于组成员节点驱动的方式构造组播树，并在概率转移函数中添加了方向因子，使蚂蚁在寻找路径时摆脱了最初的盲目性，以更大的概率快速向源节点靠近。
This new algorithm adopts the group-mem-ber-node-driven method to create the tree and adds the orientation factor to the probability function, which enables the ant to get rid of the I.
基于这种情况提出了一种改进的蚁群算法，该算法采用基于组成员节点驱动的方式构造组播树，并在概率转移函数中添加了方向因子，使蚂蚁在寻找路径时摆脱了最初的盲目性，以更大的概率快速向源节点靠近。
This new algorithm adopts the group-mem-ber-node-driven method to create the tree and adds the orientation factor to the probability function, which enables the ant to get rid of the I.
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