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Proceedings Paper

Optimization restoration algorithm based on ant colony algorithm in WDM networks
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Paper Abstract

Ant colony algorithm (ACA) is a novel simulated evolutionary algorithm. It is a population-based approach, which allows positive feedback to be used as the primary search mechanism and provides a new method for complicated combinatorial optimization problems. In this paper, it is used to optimize restoration routing for WDM optical networks. It is improved in three parts of selection strategy, local search, and information modification and it can process the problem of optimal restoration route search for different purpose in the cases of various failure conditions. Through the numerical results of practical networks: CHINANET, the practicability has been proved.

Paper Details

Date Published: 11 February 2005
PDF: 6 pages
Proc. SPIE 5625, Optical Transmission, Switching, and Subsystems II, (11 February 2005); doi: 10.1117/12.575270
Show Author Affiliations
Chunyong Yang, Huazhong Univ. of Science and Technology (China)
Deming Liu, Huazhong Univ. of Science and Technology (China)
Dexiu Huang, Huazhong Univ. of Science and Technology (China)
We Li, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5625:
Optical Transmission, Switching, and Subsystems II
Cedric F. Lam; Wanyi Gu; Norbert Hanik; Kimio Oguchi, Editor(s)

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