An Improved Ant Colony Optimization RWA Algorithm and its Application in Optical Network Wavelength Converter Allocation Strategy

Jian Hua Shen; Jian Yong Xu; Jian Chen; Yue Hui Li

doi:10.4028/www.scientific.net/AMM.263-266.986

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266An Improved Ant Colony Optimization RWA Algorithm...

An Improved Ant Colony Optimization RWA Algorithm and its Application in Optical Network Wavelength Converter Allocation Strategy

Abstract:

An improved Ant Colony Optimization based RWA algorithm and its application in optical network wavelength converter allocation strategy is given. The link idle rate is introduced as new constraint along with the random perturbation to prevent searching converged into unexpected local optimum. Theoretical and simulation shows the improved algorithm has better blocking probability and resources utilization performance.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

986-989

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.986

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Online since:

December 2012

Authors:

Jian Hua Shen, Jian Yong Xu, Jian Chen, Yue Hui Li

Keywords:

Ant Colony Optimization (ACO), Route and Wavelength Assignment (RWA), Wavelength Converter Allocation

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References

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