Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks
LIU Huanlin① LI Ruiyan① KONG Deqian① CHEN Yong②
①(Key Laboratory of Optical Communications and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) ②(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
Multipath provisioning algorithm outperforms single-path provisioning algorithm in terms of bandwidth blocking probability. However, multipath transmission causes the differential delay among different paths and affects the usage of spectrum resources. To address the problem, a Genetic Multipath Protection Algorithm (GMPA) is proposed based on multi-objectives genetic algorithm. according to traffic requests, the K link-disjoined paths and bandwidth assignments are designed as the population initialization scheme. A vector function is proposed to balance the path-distance difference and network spectrum resources by optimizing population classification and crowding distance sorting. An individual self-cross pattern is introduced and the variation range and constraint conditions of bandwidth gene are designed to improve the algorithm search ability and convergence. Compared with the Multiple Path Protection (MPP) and Primary First-fit Modified Backup Last-fit (PF-MBL), simulation results show that the proposed GMPA algorithm can get lowest bandwidth blocking probability, its spectrum resource utilization is close to the optimal MPP, and the path-distance difference of GMPA is better than that of MPP.
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