基于改进人工鱼群算法的光网络最优环路径搜索研究

Optimum Ring Path Search Based on Improved Artificial Fish Swarm Algorithm in Optical Network

针对环路由搜索存在的问题,为提高环形光网络利用率,提出了一种改进人工鱼群算法用于解决光网络最优环路径搜索问题。探索了鱼群聚群行为、移动步长等改进策略,加快了算法收敛速度,提高了算法的精度和效率。最后,以20个光节点的环形网络为例,重点研究了改进的人工鱼群算法进行环路由搜索、设备选型、系统设计及管理等内容,提高了光网络效率,节省了光网络建设成本。

In allusion to the problem about optimal ring path in optical network.in order to improve the use ratio of ring optical network,a kind of method about optimum ring path is put forward based on improved artificial fish swarm algorithm.The improve strategy of the cluster behavior step and length of the fish and so on are studied,the method can accelerate speed of algorithm constriction,and improve the accuracy and efficiency of algorithm.Finally,with 20 nodes light ring network as an example,optimum ring path search is studied based on improved artificial fish swarm algorithm,equipment selection,system design and management,the efficiency of optical network is increased,the development digression of optical network is cut down.