基于萤火虫算法的多机型通信导航设备测试资源优化配置方法
Optimal Allocation Method of Test Resources for Multi-Aircraft Communication and Navigation Equipment Based on Firefly Algorithm
杨西 1郎奇 2苗学问 1袁志芳1
作者信息
- 1. 中国人民解放军93184 部队 北京 100038
- 2. 中国人民解放军93658 部队 北京 102300
- 折叠
摘要
飞机通信导航系统是航电系统的核心系统,其故障诊断和维护保障需要占用大量测试资源.基于萤火虫算法(Firefly Algorithm,FA)提出了一种面向多机型的通用化的通信导航设备测试资源优化配置方法,以解决现有多型测试设备资源配置冗余问题.研究结果表明,采用所提方法进行测试资源优化配置后,测试资源种类缩减了21.9%,测试资源数量缩减了26.7%,证明该方法具有显著的测试资源配置工程实践应用价值.
Abstract
Aircraft communication and navigation system is the core system of avionics system,and its fault di-agnosis and maintenance support require a large amount of test resources.An optimal allocation method of test resources for multi-type generalized aircraft communication and navigation equipment based on firefly algorithm(FA)is proposed to solve the problem of redundant resource allocation of existing multi-type test equipment.Results show that the types of test resources are reduced by 21.8%and the quantity of test resources are re-duced by 26.7%after optimizing the allocation of test resources through the proposed method.The research method has significant practical application value in the engineering practice of test resource allocation.
关键词
测试资源配置/优化算法/通信导航设备/萤火虫算法Key words
allocation of test resources/optimization algorithm/communication and navigation equipment/fire-fly algorithm引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据