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基于遗传蚁群算法的无源光通信网络重构研究

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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。
Research on reconstruction of passive optical communication networks based on genetic ant colony algorithm
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.

resource utilization ratepassive optical communication networkconstraintsgenetic ant colony al-gorithm

汪绍荣、龙桂铃

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宜春学院数学与计算机科学学院,江西宜春 336000

资源利用率 无源光通信网络 约束条件 遗传蚁群算法

江西省教育厅科技项目

GJJ 209932

2024

激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子:0.74
ISSN:0253-2743
年,卷(期):2024.45(7)