A new evolutionary algorithm for traffic grooming in WDM mesh network

Yishi Han, Zhanbin Ao, Bingkun Xu
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Abstract

The traffic grooming based on Adaptive Immune Evolutionary Algorithm (AIEA) is proposed. The process of AIEA for traffic grooming problem was also given simply. Computer simulations and comparison with other heuristic algorithms were performed. The results show AIEA has better resource utilization, good convergence rate and global optimization features in WDM Mesh networks. Simulation results show AIEA has better resource utilization, average jumping delay time and good convergence.
一种新的WDM网状网络流量疏导进化算法
提出了基于自适应免疫进化算法(AIEA)的流量疏导算法。简要介绍了基于AIEA的交通疏导问题处理过程。进行了计算机仿真,并与其他启发式算法进行了比较。结果表明,AIEA算法在WDM Mesh网络中具有较好的资源利用率、较好的收敛速度和全局优化特性。仿真结果表明,AIEA具有较好的资源利用率、平均跳跃延迟时间和较好的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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