WDM全光网络波长转换节点最优放置的研究

The Optimal Placement of Sparse Wavelength Converters in WDM Networks Based on Genetic Algorithms

采用遗传算法 ,研究了在波分复用 (WDM)全光网络中放置一定数目的波长转换节点 ,使得整个网络的阻塞概率最小的优化问题 .分析表明 ,在网络中某些节点使用波长转换 ,可以达到在网络中所有节点使用波长转换时几乎同样的改善效果 .和其他方法的仿真结果进行了比较 。

Based on genetic algorithms, that optimal placement of sparse wavelength converters in WDM networks can minimize the blocking probability is studied. It is indicated that converters at a few nodes can provide almost the entire improvement in the blocking probability as the wavelength converters are place at all the nodes. By the comparison with the simulation result, by other methods, the genetic algorithm is validity.