基于改进遗传算法的资源优化调度方法  

Resource optimized scheduling based on improved genetic algorithm

作　　者：汤洪 徐旺 TANG Hong;XU Wang(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)

机构地区：[1]电子信息控制重点实验室,四川成都610036

出　　处：《现代电子技术》2024年第9期169-172,共4页Modern Electronics Technique

摘　　要：资源优化调度对于充分发挥电子战飞机作战效能,取得较好对抗效果具有重要作用。文中以雷达目标优先度、干信比、频率等为要素,构建作战效能的目标函数,并建立电子战资源优化调度模型,然后利用改进遗传算法求解出上述模型的资源优化调度方案。仿真结果表明,该资源调度方法能有效提高电子战飞机的整体作战效能。Optimized scheduling of resources plays a key role in utilizing sufficient countermeasure effectiveness of electronic warfare(EW)aircrafts and achieving better combat effectiveness.In this paper,the target priority of radar,jamming to signal ratio and frequency are taken as the elements to construct the objective function of operational effectiveness,and establish the resource optimized scheduling model of EW.And then,the optimized scheduling scheme of the model is solved by the improved genetic algorithm(GA).Simulation results have shown that the solution can effectively improve the overall combat effectiveness of EW aircrafts.

关 键 词：对抗 作战效能 优先度 目标函数 资源调度 遗传算法 优化 

分 类 号：TN972-34[电子电信—信号与信息处理]