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混合人工蜂群算法在船舶通信网络优化中的应用
Application of hybrid artificial bee colony algorithm in ship communication network optimization
- DOI:
- 作者:
- 滕碧红1,2, 孙海信3
TENG Bi-hong1,2, SUN Hai-xin3
- 作者单位:
- 1. 福州大学 数学与计算机科学学院, 福建 福州 350108;
2. 闽西职业技术学院 信息工程学院, 福建 龙岩 364021;
3. 厦门大学 信息学院, 福建 厦门 361005
1. School of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China;
2. School of Information Engineering, Minxi Vocational&Technical College, Longyan 364021, China;
3. School of Information, Xiamen University, Xiamen 361005, China
- 关键词:
- 混合人工蜂群算法;通信网络;覆盖率;网络节点
hybrid artificial colony algorithm; communication network; coverage rate; network node
- 摘要:
- 混合人工蜂群算法是一种基于仿生学的智能算法，该算法通过模拟蜂群中的分工行为进行局部寻优，能够实现优化问题的快速收敛。船舶无线通信网络由网络节点、网络链路、船舶终端等构成，通信网络的性能关系到船舶导航、AIS系统运行等。本文结合混合人工蜂群算法，进行船舶无线通信网络的覆盖率提升等优化研究，有助于改善当前船舶无线通信网络的性能。
Hybrid artificial bee colony algorithm is an intelligent algorithm based on bionics. The algorithm simulates the division of labor behavior in the bee colony for local optimization, which can achieve rapid convergence of optimization problems. Ship wireless communication network is composed of network nodes, network links, ship terminals, etc. The performance of the communication network is related to ship navigation, AIS system operation, etc. Based on this, this paper combined with the hybrid artificial colony algorithm, carried out optimization research on the coverage of ship wireless communication network, which is helpful to improve the performance of the current ship wireless communication network.
2023,45(6): 154-157 收稿日期：2022-09-04
DOI：10.3404/j.issn.1672-7649.2023.06.029
分类号：UTN915
基金项目：国家自然科学基金资助项目（62071402）
作者简介：滕碧红(1971-)，女，副教授，研究方向为无线传感网技术、物联网技术及图像识别技术
