量子遗传算法应用下的计算机通信网络覆盖优化方法研究  

Research on the Optimization Method of Computer Communication Network Coverage Under The Application of Quantum Genetic Algorithm

作　　者：任修仕 REN Xiushi(China United Network Communications Co.,Ltd.,Taiyuan 030000,China)

机构地区：[1]中国联合网络通信有限公司山西省分公司,山西太原030000

出　　处：《通信电源技术》2025年第4期165-167,共3页Telecom Power Technology

摘　　要：提出了一种基于量子遗传算法(Quantum Genetic Algorithm,QGA)的计算机通信网络覆盖优化方法。通过构建通信网络覆盖模型,并结合QGA的量子编码、量子旋转门操作和自适应调整策略,有效提高网络的覆盖率,同时减少节点分布的冗余。实验结果表明,与传统遗传算法(Genetic Algorithm,GA)和粒子群算法(Particle Swarm Optimization,PSO)相比,QGA在不同节点数量和覆盖半径下均能实现更高的网络覆盖率和更低的冗余率。在不同迭代次数的实验中,QGA展现出快速收敛和高效优化的能力,证明其在复杂网络环境中的应用优势。In this paper,we propose a coverage optimization method for computer communication networks based on a Quantum Genetic Algorithm(QGA).By building a network coverage model and integrating quantum coding,quantum rotation gate operations,and adaptive adjustment strategies,the network’s coverage is effectively improved while minimizing node redundancy.Experimental results demonstrate that QGA outperforms both Genetic Algorithms(GA)and Particle Swarm Optimization(PSO)in achieving higher coverage rates.Under varying iteration numbers,QGA exhibits fast convergence and efficient optimization,confirming its advantages in complex network environments.

关 键 词：量子遗传算法(QGA) 通信网络覆盖 优化控制 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]