基于遗传蚁群算法的无源光通信网络重构研究
Research on reconstruction of passive optical communication networks based on genetic ant colony algorithm
汪绍荣 1龙桂铃1
作者信息
- 1. 宜春学院数学与计算机科学学院,江西宜春 336000
- 折叠
摘要
无源光通信网络的资源利用率直接关系到该网络的通信服务质量.在此背景下,为实现高质量通信,提出基于遗传蚁群算法的无源光通信网络重构方法.该研究在8条假设条件下,以资源利用率最大化为目标,在7个约束条件下,利用遗传蚁群算法求取满足目标函数的最优解,得到无源光通信网络重构方案.结果表明:设计方法应用下的无源光通信网络资源利用率较高,最高为96％,说明设计方法能以最小的资源消耗实现通信传输,具有一定的应用价值.
Abstract
The resource utilization of passive optical communication network is directly related to the communica-tion quality of the network.In this context,in order to achieve high-quality communication,this paper proposes a pas-sive optical communication network reconfiguration method based on genetic ant colony algorithm.Under 8 assump-tions,the research aims to maximize resource utilization.Under 7 constraints,the genetic ant colony algorithm is used to obtain the optimal solution that meets the objective function,and the passive optical communication network recon-figuration scheme is obtained.The results show that the resource utilization ratio of the passive optical communication network under the application of the design method is high,up to 96％.It shows that the design method can achieve communication transmission with the minimum resource consumption,and has certain application value.
关键词
资源利用率/无源光通信网络/约束条件/遗传蚁群算法Key words
resource utilization rate/passive optical communication network/constraints/genetic ant colony al-gorithm引用本文复制引用
基金项目
江西省教育厅科技项目(GJJ 209932)
出版年
2024
NETL
NSTL
万方数据