Application of Improved Ant Colony Algorithm in QoS Routing Optimization

Xiu Ju Liu

doi:10.4028/www.scientific.net/AMR.108-111.353

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Application of Improved Ant Colony Algorithm in...

Application of Improved Ant Colony Algorithm in QoS Routing Optimization

Abstract:

QoS routing for the characteristics of the ant colony algorithm is improved. First of all defect from the ant colony algorithm and to increase Network Node bound, As well as to speed up global convergence analysis of the three areas of the ant colony algorithm to improve thinking; And by improving the ant colony algorithm in the QoS routing optimization application, the details of the ant colony algorithm to improve the design and implementation steps. Finally, simulation results show that: According to the algorithm for solving the problem and get the optimal solution of the ratio of full proof of improvement in the ant colony algorithm QoS routing optimization on the effectiveness and stability.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

353-358

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.353

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Online since:

May 2010

Authors:

Xiu Ju Liu

Keywords:

Ant Colony Algorithm (ACA), Network Model, Pheromone Update, QoS Routing

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References

[1] (Italy) Dorigo (Dorigo, M. ), (Germany) Stuetzle (Stutzle, T. ): Ant Colony Optimization [M]. Beijing: Tsinghua University Press(2007).

Google Scholar

[2] Yong Cui, Wu Jianping, Xu Ke and so on: Internet Research on the quality of service routing algorithm [J]. Journal of Software Vol. 13 (2002), p.2065-(2076).

Google Scholar

[3] Hou East, Wen: Based on improved ant colony system's multi-constrained multicast QoS routing algorithm [J]. Science and Technology Information Vol. 30 (2007), pp.246-247.

Google Scholar

[4] SUN Li-juan, WANG Liang-jun and Wang Ru-chuan: Ant Colony Algorithm for Solving QoSRouting Problem Wuhan University Journal of Natural Sciences (2004), pp.449-453.

DOI: 10.1007/bf02830441

Google Scholar

[5] Yong-Juan Liu: Improved ant colony algorithm for QoS routing in the application and research.

Google Scholar

[6] Yang Jiang, Yan Chen and Shen Lin: Improved Ant Colony Algorithm Based on Multi-constrained QoS routing method [J]. Computer Application and Software Vol. 25 (2008), pp.15-16.

Google Scholar

[7] Cui Mingyi, Zhang Xin-Xiang, SU clouds and so on: Ant colony algorithm based on QoS multicast routing optimization strategy [J]. Computer Application and Software Vol. 24 (2007), pp.51-52.

Google Scholar

[8] Zhang S, Liu Z: A QoS routing algorithm based on ant algorithm [J]. IEEE ICC(2001).

Google Scholar