NDLI: Genetic algorithm for amplifiers gain optimization in all-optical networks

Content Provider	IEEE Xplore Digital Library
Author	Bastos-Filho, C.J.A. Chaves, D.A.R. Pereira, H.A. Martins-Filho, J.F.
Copyright Year	2006
Description	Author affiliation: Univ. of Pernambuco, Recife (Bastos-Filho, C.J.A.)
Abstract	In transparent, wavelength routed optical networks, the optimization of network amplifiers gains is a difficult task, because of the amplifier saturation effect and the dynamics of admission and termination of connections. In this paper, we propose and demonstrate a genetic algorithm for the enhancement of network performance by optimization of the gain of each amplifier in the network. The gain of each amplifier in the network is coded in a bit string. These strings are optimized through evolutionary processes such as crossover, mutation and selection, which is based on minimum network blocking probabilities. We show that this algorithm is able to improve considerably the overall network performance. Parameters such as the network load, output saturation power of amplifiers, initial population and number of generations used in the genetic algorithm are considered and their effects are analyzed.
Starting Page	700
Ending Page	705
File Size	762488
Page Count	6
File Format	PDF
ISBN	9788589748049
DOI	10.1109/ITS.2006.4433363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-03
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms All-optical networks Optical amplifiers Semiconductor optical amplifiers Wavelength routing Optical fiber networks Performance gain Genetic mutations Power amplifiers Power generation Genetic Algorithms Optical Fiber Communications Optical Networks Optical Fiber Amplifiers
Content Type	Text
Resource Type	Article

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