Optimization restoration algorithm based on ant colony algorithm in WDM networks

Chunyong Yang; Deming Liu; Dexiu Huang; We Li

doi:10.1117/12.575270

11 February 2005 Optimization restoration algorithm based on ant colony algorithm in WDM networks

Chunyong Yang, Deming Liu, Dexiu Huang, We Li

Proceedings Volume 5625, Optical Transmission, Switching, and Subsystems II; (2005) https://doi.org/10.1117/12.575270
Event: Asia-Pacific Optical Communications, 2004, Beijing, China

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.

Citation Download Citation

Chunyong Yang, Deming Liu, Dexiu Huang, and We Li "Optimization restoration algorithm based on ant colony algorithm in WDM networks", Proc. SPIE 5625, Optical Transmission, Switching, and Subsystems II, (11 February 2005); https://doi.org/10.1117/12.575270

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