针对主动队列管理方法 BLUE存在队列抖动偏大的问题,提出一种新的自适应主动队列管理方法 (ABLUE).该方法通过考虑缓冲区长度和平均队列长度定义了丢包策略和丢包概率,利用菌群优化算法对平均队列长度模型进行求解.利用OPNET对ABLUE方法进行仿真实验,深入研究有效传输数据包个数、瞬时平均队列长度方差和缓冲区长度等因素之间的关系.研究结果表明:相对于与BLUE方法、RED方法,ABLUE方法具有较好的适应性. Aiming at the problem of large queue jitter in BLUE, this paper proposes a new adaptive active queue management (ABLUE) method, which defines the packet loss strategy and packet loss probability by considering the buffer length and average queue length, The optimal queue length model was solved by using the algorithm of flora optimization.The simulation experiment of ABLUE with OPNET was carried out to study the relationship between the number of packets transmitted effectively, the variance of instantaneous average queue length and the length of the buffer.The results show that : Compared with the BLUE method, RED method, ABLUE method has good adaptability.