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基于蚁群算法的多参数模糊评判的路由算法 被引量:3

Multi-parameter Fuzzy Judge Routing Algorithm Based on Ant Colony Algorithm
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摘要 随着互联网络的快速发展和网络用户数量的不断攀升,用户对网络服务质量和网络性能等方面的需求也不断增强。智能路由选择问题正成为网络通信领域中的一个热点问题,本文提出了基于蚁群算法的多路由约束参数模糊评判的路由算法,该路由算法不但能够综合利用多个路由参数的组合优化作用求解最优路由,而且,又能充分利用蚁群算法的良好特性。该路由算法能够有效地解决用户对网络服务、网络性能等方面的需求问题。 With the rapid development of internet and the rising number of internet users,the users' needs about network service quality and network performance are also rapidly growing. Intelligent routing problem is becoming a hot issue in the field of network communications. In this paper,Multi-parameter fuzzy judge routing algorithm based on ant colony algorithm is proposed,the algorithm not only can solve optimal routing problem,but also can fully utilize the good characteristics of the ant colony algorithm. The routing algorithm can effectively solve the users' needs about network services,network performance.
作者 刘伟 史岚
出处 《微计算机应用》 2010年第10期14-19,共6页 Microcomputer Applications
关键词 蚁群算法 模糊评判 路由算法 路由参数 ant colony algorithm fuzzy judge routing algorithm routing parameter
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参考文献6

  • 1Dorigo M, GambardeUa L M. Ant Colonies for the Traveling Salesman Problem [ J ], Bio- system, 1997,43 (2) :73 -81. 被引量:1
  • 2Z. Wang, J. Crowcroft. Quality of service routing for supporting multimedia applications [ J ]. IEEE J. SAC, 1996, 14 (7) :1228 - 1234. 被引量:1
  • 3G. N. Rouskas and I. Baldine. Muhicast Routing with end - to - end delay and delay variation constraints [ J]. IEEE Journal on Selected Areas in Commu. , 1997, 15 (3) :346 -356. 被引量:1
  • 4李士勇,陈永强,李研编著..蚁群算法及其应用[M].哈尔滨:哈尔滨工业大学出版社,2004:245.
  • 5夏鸿斌,须文波,刘渊.负载平衡路由:一种新的ACO路由策略[J].计算机应用研究,2009,26(7):2504-2507. 被引量:2
  • 6杨纶标,高英仪.模糊数学原理与应用[M].广州:华南理工大学出版社,2005.41-48. 被引量:7

二级参考文献9

  • 1BERTSEKAS D, GALLAGER R. Data networks[ M]. Upper Saddle River, New Jersey: Prentice-Hall Inc, 1992:48-49. 被引量:1
  • 2DORIGO M, CARO G D, GAMBARDELLA L M. Ant algorithms for discrete optimization[ J]. Artificial lifo, 1999, 5(2) : 137- 172. 被引量:1
  • 3ZHOU Song-nian, FERRARI D. An experimental study of load-balancing performance,CSD-87-336[R]. Berkeley: University of California, 1987. 被引量:1
  • 4KARA M. Using dynamic load balancing in distributed information systems, Report 94.18[ R]. Leeds:School of Computer,University of Leeds, 1994. 被引量:1
  • 5SALEHI M A, DELDARI H. Grid load balancing using an echo system of intelligent ants[ C ]//Proc of the 24th lASTED International Conference on Parallel and Distributed Computing and Networks. Innsbruck, Austria: ACTA Press, 2006 : 47- 52. 被引量:1
  • 6KWANG M S, WENG Hong-sun. Ant colony optimization for routing and load-balancing:survey and new directions[ J]. IEEE Trans on Systems, Man and Cybernetics,2003:560-572. 被引量:1
  • 7VARELA N, SINCLAIR M C. Ant colony optimization for virtualwavelength-path routing and wave length allocation [ C ]//Proc of Congress on Evolutionary Computation. Washington DC: IEEE Press, 1999: 1809- 1816. 被引量:1
  • 8SCHOONDERWOERD R, HOLLAND O, BRUTEN J. et al. Antbased load balancing in telecommunication networks [J]. Adaptive Behavior, 1996,5 (2) : 169- 207. 被引量:1
  • 9CARO G D, DORIGO M. AntNet : distributed stigmergetic control for communications networks[ J ]. Journal of Artificial Intelligence Research, 1998,9:317- 365. 被引量:1

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