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量子遗传算法在无线自组网频率分配中的应用OACSTPCD

Application of Quantum Genetic Algorithm in Frequency Allocation of Wireless Ad Hoc Networks

中文摘要英文摘要

论文将量子遗传算法应用于地面应急通信车辆无线自组网节点的使用频率分配,通过分析无线自组网节点频率的约束条件,建立频率分配的数学模型,并设计了使用量子遗传算法进行频率分配的的工作流程,对经典遗传算法库GALib进行扩展改进,增加了量子遗传算法的实现,通过模拟典型的无线自组网网络环境,比较经典和量子遗传算法的分配结果,量子遗传算法的分配收敛速率优于经典遗传算法,可以实现无线自组网节点频率灵活、高效的快速分配.

In this paper,quantum genetic algorithm is applied to the frequency allocation of wireless ad hoc network nodes of ground emergency communication vehicles.By analyzing the frequency constraints of wireless ad hoc network nodes,the mathemati-cal model of frequency allocation is established,and the specific implementation steps based on quantum genetic algorithm are de-signed.The classical genetic algorithm library GAlib is improved,and the engineering implementation of quantum genetic algorithm is completed.By simulating the typical wireless ad hoc network environment,the allocation results of classical genetic algorithm and quantum genetic algorithm are compared and analyzed.Quantum genetic algorithm has obvious advantages in convergence speed and meets the requirements of flexible and efficient node frequency allocation in wireless ad hoc networks.

王帅;王建斌;杜刚

中国电子科技集团公司第十研究所二部 成都 610036

计算机与自动化

量子遗传算法频率分配战术无线自组网

quantum genetic algorithmfrequency allocationtactical wireless ad hoc network

《计算机与数字工程》 2024 (005)

1293-1297,1303 / 6

10.3969/j.issn.1672-9722.2024.05.006

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