摘要
传统网络覆盖方法因计算量庞大,导致网络覆盖率低,因此研究基于量子遗传算法的计算机通信网络覆盖优化方法。计算网络总节点的感知概率,确定网络覆盖程度,构建通信网络覆盖模型;引入量子遗传算法,通过适应度值选择更多染色体组进行种群迭代选优,优化网络覆盖模型,实现计算机通信网络覆盖优化。实验结果表明,该方法的覆盖率最高,实现了计算机通信网络的覆盖优化。
The traditional network coverage method has low network coverage due to its huge amount of computation.Therefore,the optimization method of computer communication network coverage based on quantum genetic algorithm is studied.Calculate the total node perception probability of the network,determine the network coverage,and build the communication network coverage model.The quantum genetic algorithm is introduced to select more chromosomes through fitness value for population iterative optimization,optimize the network coverage model,and realize the optimization of computer communication network coverage.The experimental results show that the method in this paper has the highest coverage and achieves the optimization of computer network communication network coverage.
作者
丁健
DING Jian(Water Management Service Station of Moling Subdistrict,Nanjing 210000,China)
出处
《通信电源技术》
2023年第7期215-217,共3页
Telecom Power Technology
关键词
量子遗传算法
计算机通信
网络覆盖
优化
quantum genetic algorithm
computer communication
network coverage
optimize
