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基于改进TOPSIS法和蚁群算法的反TBM目标群目标分配研究
引用本文:王森,杨建军,孙鹏.基于改进TOPSIS法和蚁群算法的反TBM目标群目标分配研究[J].情报指挥控制系统与仿真技术,2011(1):23-26.
作者姓名:王森  杨建军  孙鹏
作者单位:[1]空军工程大学导弹学院,陕西三原713800 [2]空军工程大学科研部,陕西西安710051
基金项目:反导体系与防空体系兼容性研究
摘    要:基于改进的TOPSIS法和蚁群算法,以弹道导弹目标群为研究对象,研究了反导指控系统对目标群的目标分配问题。首先通过改进的TOPSIS法确定TBM目标群威胁排序并基于拦截排序准则确定拦截排序;其次使作战效能最大化,基于蚁群算法确定目标的最优分配方案;最后通过仿真实例验证了在考虑目标威胁值排序前提下采用此算法,可使目标群分配方案更加科学有效和符合反导作战实际。

关 键 词:改进TOPSIS法  蚁群算法  TBM目标群  目标分配

Research on Targets Assignment of TBMs in ATBM Battle Based on Proved TOPSIS and Ant Colony Algorithms
WANG Sen,YANG Jian-jun,SUN Peng.Research on Targets Assignment of TBMs in ATBM Battle Based on Proved TOPSIS and Ant Colony Algorithms[J].Information Command Control System and Simulation Technology,2011(1):23-26.
Authors:WANG Sen  YANG Jian-jun  SUN Peng
Institution:1.The Missile Institute of AFEU,Sanyuan,713800;2.Science Department of AFEU,Xi'an 710051,China)
Abstract:Text researched about targets assignment of command and control system of ATBM to TBMs based on proved TOPSIS and Ant Colony Algorithms.Firstly,it ascertained threat order of TBMs through proved TOPSIS method and made certain interception order based on rules of interception order.Secondly,it ascertained the best assignment project based on Ant Colony Algorithm in order to maximize battle efficiency.Finally,it proved these algorithms to be objective,effective and suited to real condition of ATBM through emulational example when thinking about threat order firstly.
Keywords:proved TOPSIS method  ant colony algorithm  targets of TBMs  targets assignment
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