Genetic Algorithms for Designing Energy-Efficient Optical Transport Networks With Mixed Regenerator Placement

Provided by: University of Science and Technology Houari Boumediene
Topic: Mobility
Format: PDF
The authors design Genetic Algorithms (GA) to solve the Mixed Regenerator Placement (MRP) problem of light-paths with different lengths in optical transport networks, and investigate their performance with numerical simulations. By incorporating a theoretical model that can estimate BER changes hop-by-hop along light-paths, the GA encodes the placements of 1R/2R/3R at intermediate regeneration sites as genes, and takes Quality-of-Transmission (QoT) and energy-efficiency as the fitness functions. With a relatively small population size, the algorithms obtain multiple qualified MRP results that can satisfy both the QoT and energy requirements within 32 generations, for light-paths with lengths up to 28 hops.

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