A Two-Population Based Evolutionary Approach for Optimizing Routing, Modulation and Spectrum Assignments (RMSA) in O-OFDM Networks

Author

Gong, Long ; Zhou, Xiang ; Lu, Wei ; Zhu, Zuqing

Author_Institution

Sch. of Inf. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China

Volume

16

Issue

9

fYear

2012

fDate

9/1/2012 12:00:00 AM

Firstpage

1520

Lastpage

1523

Abstract

We propose a novel two-population genetic algorithm (MPGA) to optimize the routing, modulation and spectrum assignments (RMSA) in optical orthogonal frequency-division multiplexing (O-OFDM) networks. The proposed MPGA makes two populations evolve in parallel with different selection and mutation strategies, and incorporates a migration operation to exchange individuals between them. Performance evaluations show that the MPGA outperforms several existing algorithms.

Keywords

OFDM modulation; bandwidth allocation; channel allocation; genetic algorithms; optical modulation; telecommunication network routing; MPGA; O-OFDM network; RMSA; migration operation; multipopulation genetic algorithm; mutation strategy; optical orthogonal frequency division multiplexing; optimisation; population based evolutionary approach; routing modulation and spectrum assignment; Genetic algorithms; Genetics; Modulation; Optical fiber networks; Planning; Routing; Topology; Multi-population genetic algorithm (MPGA); modulation and spectrum assignment (RMSA); optical orthogonal frequency-division multiplexing (O-OFDM); routing;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2012.070512.120740

Filename

6235073