基于遗传算法的多侦察传感器目标优化分配  

Target Assignment Optimization of Multi-reconnaissance Sensor Based on Generic Algorithm

作　　者：周磊[1] 刘军[1] 朱峰[1] 

机构地区：[1]中国人民解放军63880部队

出　　处：《无线电工程》2012年第6期55-57,共3页Radio Engineering

摘　　要：针对电子战系统试验与训练任务中的多个侦察传感器的目标分配实际应用,讨论了多目标分配规划问题,建立了一对多目标分配规划模型。将多个侦察传感器的总侦察效率作为目标函数,分析了相关约束条件,采用遗传算法进行求解得到了优化后的侦察目标分配方案,为合理地进行武器系统的作战目标分配研究以及为试验与训练任务节约资源、提高效率提供了有益的帮助。Aiming at the practical application in target assignment of multi-reconnaissance sensor in EW system test and training mission, this paper discusses the multi-target assignment programming problem, and builds the programming model of one-to-many target assignment. The relative constraints are analyzed by taking the total reconnaissance efficiency as the objective function. The optimum scheme of target assignment is obtained by generic algorithm. It is helpful to research on rational battle target assignment of weapon system and resource saving and efficiency improvement of test and training mission.

关 键 词：多传感器 侦察目标 遗传算法 优化分配 

分 类 号：TN971[电子电信—信号与信息处理]