QoS routing optimization strategy using genetic algorithm in optical fiber communication networks

Authors:
Zhao-Xia Wang;Zeng-Qiang Chen;Zhu-Zhi Yuan
Affiliations:
Department of Automation, Nankai University, Tianjin 300071, P.R. China;Department of Automation, Nankai University, Tianjin 300071, P.R. China;Department of Automation, Nankai University, Tianjin 300071, P.R. China
Venue:
Journal of Computer Science and Technology
Year:
2004

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Abstract

This paper describes the routing problems in optical fiber networks, defines five constraints, induces and simplifies the evaluation function and fitness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in optical fiber communication networks. The simulation results show that the proposed routing method by using this optimal maintain operator genetic algorithm (OMOGA) is superior to the common genetic algorithms (CGA). It not only is robust and efficient but also converges quickly and can be carried out simply, that makes it better than other complicated GA.