电子科技大学学报2026，Vol.55Issue(3)：361-373,13.DOI:10.12178/1001-0548.2025174
基于种群扰动遗传算法的多任务航天测控站资源池调度方法
A scheduling method for multi-task aerospace TT&C ground station resource pools based on population perturbation genetic algorithm
摘要
Abstract
The ground stations of modern aerospace telemetry,tracking,and command(TT&C)systems face the dual challenges of diversification of measurement and control task types and a sharp increase in resource demands.Traditional ground station baseband processing resource pools are limited in resource utilization and system performance due to their relatively solidified scheduling and lack of flexibility.To address the above problems,this paper proposes a dynamic resource scheduling strategy based on a population perturbation genetic algorithm.The algorithm introduces a global combinatorial encoding method,elitist individual preservation strategy,population perturbation mechanism,non-traditional multi-stage random partial crossover,and parallel single-point and two-point mutation operations,thereby enhancing scheduling flexibility and responsiveness.Through a series of simulation experiments,the results demonstrate that compared to traditional algorithms,the proposed population perturbation genetic algorithm can quickly achieve dynamic baseband processing resource allocation,resulting in significant improvements in task processing efficiency,it performs particularly well in handling high-load tasks,effectively enhancing the utilization and operational efficiency of ground station resources.关键词
航天测控地面站/任务调度/动态调度/遗传算法Key words
TT&C ground station/task scheduling/dynamic scheduling/genetic algorithm分类
信息技术与安全科学引用本文复制引用
刘柳,张聪,吴帆,刘田,李晶晶..基于种群扰动遗传算法的多任务航天测控站资源池调度方法[J].电子科技大学学报,2026,55(3):361-373,13.基金项目
国家自然科学基金(62293494) （62293494）
成都市科技计划资助(2024-JB00-00014-GX) （2024-JB00-00014-GX）
