信息工程大学学报2025，Vol.26Issue(4)：450-455,6.DOI:10.3969/j.issn.1671-0673.2025.04.011
电鳗觅食优化算法在无人机基站部署中的应用
Application of Electric Eel Foraging Optimization for Unmanned Aerial Vehicle Base Stations Deployment
摘要
Abstract
To address the challenges of communication infrastructure damage and paralysis faced by military personnel during emergency rescue operations,a three-dimensional spatial deployment optimi-zation model for unmanned aerial vehicle(UAV)base stations is established.The fitness function is de-fined to maximize system capacity and the number of covered users.The electric eel foraging optimiza-tion(EEFO)algorithm is employed to optimize the 3D deployment positions of UAV base stations,with the optimal solution obtained through iterative optimization.Simulation results demonstrate that,under given constraints,the proposed algorithm exhibits significant advantages in communication network coverage compared to the whale optimization algorithm(WOA),Harris Hawks optimizer(HHO),par-ticle swarm optimization(PSO),coot optimization algorithm(COOT),and arctic puffin optimization(APO).关键词
无人机/空中基站/电鳗觅食/优化算法/网络覆盖Key words
unmanned aerial vehicle/aerial base station/electric eel foraging/optimization algo-rithm/network coverage分类
信息技术与安全科学引用本文复制引用
潘博阳..电鳗觅食优化算法在无人机基站部署中的应用[J].信息工程大学学报,2025,26(4):450-455,6.
