摘要Internet网络规模的迅速增长和网络技术的不断完善,使得如何在满足QoS(quality of service)要求下进行路由选择,已成为路由算法研究的重要方向。本文提出了一种多约束条件下的自适应蚁群算法,该算法基于目标函数的信息素分配策略来自适应的调整蚂蚁的搜索行为,使多约束QoS路由优化问题得到了很好的解决。
4[4]M.Dorigo,E.Bonabeau,G.Theraulaz.Ant Algorithms and Stigmergy.Future Generation Computer System,2000,16(8):851～871
二级参考文献8
1[1]Floyd S.and Fall K.Promoting the use of end-to-end congestion control in the Internet[J].IEEE／ACM Transaction on Networking，August1999，7(4):458－472.
2[2]Tan D and Zakhor A.Real-time Internet video using error resilient scalable compression and TCP-friendly transport protocol[J].IEEE Transactions on Multimedia，June1999，1(2):172－186.
3[4]Mahdavi J and Floyd S.TCP-friendly unicast rate-based flow control[Z].Note sent to end2end-interest mailing list，Jan.1997.
4[5]Floyd S.Congestion control principles[R].Oct.1999，Internet draft draft-floyd-cong-00.txt work-in-progress
5[6]Padhye J，Firoiu V，Towsley D，and Kurose J.Modeling TCP through-put:a simple model and its empirical validation[A].SIGCOMM Sym-posiumon Communications Architectures andP rotocols[C]，Aug.1998.
6[7]Ramesh S and Rhee I.Issues in model-based flow control[R].Techni-cal Report99-15，Debartment of Computer Science，North Carolina State University，1999.
