作　　者： ; ; ; ;

机构地区： 空军工程大学防空反导学院

出　　处： 《电光与控制》 2013年第10期62-65,共4页

摘　　要： 多层反导目标分配问题中如何使得效率最高,是非常重要又十分困难的问题。从综合考虑作战效能与作战费用的角度,建立了基于威胁更新机制的多层反导目标分配模型。针对模型的复杂性,结合遗传算法和免疫系统的思想提出了自适应小生境克隆遗传算法,并针对多层反导目标分配进行仿真。仿真结果表明,新算法在解决多层反导目标分配时具有突出的优化精度和实时性能,为反导指控系统作出科学、准确和实时的决策提供有力支撑。 How to maximize the efficiency of target assignment in multi-layered anti-missile system is a very important and also a difficult problem. Considering both the operational effectiveness and operational expense, we proposed a model for target assignment of muhi-layered anti-missile system based on threat updating mechanics. A self-adapting niche clonal genetic algorithms（ SNCGA）was put forward based on the genetic algorithm and thought of immune system. Simulations were made for the multi-layered anti-missile target assignment to test the performance of the new algorithms. The results prove that the algorithm have high precision and fine real-time performance, which can provide a support for scientific and real-time decision-making in anti-missile command and control system.

关 键 词： 弹道导弹防御 目标分配 遗传算法 优化

领　　域： [航空宇航科学与技术] [航空宇航科学技术] [自动化与计算机技术] [自动化与计算机技术]