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

被引：103

作者：

Gong, Long ^{[1
]}

Zhou, Xiang ^{[1
]}

Lu, Wei ^{[1
]}

Zhu, Zuqing ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230027, Anhui, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2012年 / 16卷 / 09期

关键词：

Multi-population genetic algorithm (MPGA); routing; modulation and spectrum assignment (RMSA); optical orthogonal frequency-division multiplexing (O-OFDM); OPTICAL NETWORKS; ALLOCATION;

D O I：

10.1109/LCOMM.2012.070512.120740

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页码：1520 / 1523

页数：4

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