无线电工程2025，Vol.55Issue(8)：1640-1649,10.DOI:10.3969/j.issn.1003-3106.2025.08.011
一种面向复杂电磁环境的试验资源调度优化算法
An Experimental Resource Scheduling Optimization Algorithm for Complex Electromagnetic Environment
姜艳霞 1郭国君 1郭海亮 1张维 1杜明1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
- 折叠
摘要
Abstract
Aiming at the characteristics of electromagnetic test field environment such as uncertainty,variability and diversity,which leads to the problem of difficult scheduling spatial,temporal,and spectral test resources for frequency-using equipment in the test field area in the complex electromagnetic environment,a test resource scheduling optimization algorithm CVSPSO for the complex electromagnetic environment is proposed.The algorithm constructs a fitness function by integrating multiple influencing factors of the layout scheme,and improves local diversity by combining the proposed multidimensional similarity calculation and a cohesive hierarchical clustering algorithm based on an adaptive similarity threshold.On this basis,an improved Gaussian mutation method is proposed to further improve the population stochastic diversity.The effectiveness of the proposed method is validated on the standard test functions as well as on the frequency-using equipment of the Unreal Engine 4(UE4)simulated electromagnetic test environment.The experimental results show that the proposed method is better than the compared methods on most metrics,providing an optimized layout scheme for the test resource scheduling in the complex electromagnetic environments and meeting the spatial layout and resource scheduling requirements of the electronic test site.关键词
复杂电磁环境/多维相似度/凝聚式层次聚类算法/自适应相似度阈值/交叉变异运算Key words
complex electromagnetic environment/multi-dimensional similarity/cohesive hierarchical clustering algorithm/adaptive similarity threshold/cross-mutation operation分类
信息技术与安全科学引用本文复制引用
姜艳霞,郭国君,郭海亮,张维,杜明..一种面向复杂电磁环境的试验资源调度优化算法[J].无线电工程,2025,55(8):1640-1649,10.
