空间目标监视任务资源调度技术建模分析  

Modeling and Analysis of Resource Scheduling Technology for Space Target Surveillance Task

作　　者：刘翔[1] 吕丽红 费立刚 刘佳玥 孙婷玉 LIU Xiang;LYU Lihong;FEI Ligang;LIU Jiayue;SUN Tingyu(The 54th Research Institute of CETC,Shijiazhuang 050081,China;Unit 32039,PLA,Beijing 102300,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]中国人民解放军32039部队,北京102300

出　　处：《计算机与网络》2023年第5期46-51,共6页Computer & Network

摘　　要：针对空间目标监视任务具有环境复杂性、目标动态随机性以及任务高度机动性等特点,建立了一种能够体现监视资源设备个体智能和群体智能的多智能体(Multi-Agent)任务资源调度模型,为了能够快速、准确求解任务资源调度决策方案,通过在基本粒子群算法结合多智能体间的相互引导,分析了基于多智能体模型的粒子群算法。仿真结果表明,针对随机设定的任务要求,所提算法可以计算得到合理有效的调度分配方案。Aiming at the characteristics of space target surveillance task,such as complexity of environment,dynamic randomness of targets and high mobility of tasks,a multi-agent task resource scheduling model that can reflect the individual intelligence and swarm intelligence of monitoring resource equipment is established.In order to get the task resource scheduling decision scheme quickly and accurately,the particle swarm algorithm based on multi-agent model is analyzed by combing the basic particle swarm optimization algorithm with the mutual guidance among multi-agent.The simulation results show that the algorithm can calculate a reasonable and effective scheduling and allocation scheme for the randomly set task requirements.

关 键 词：空间监视 粒子群算法 多智能体系统 资源调度 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]