基于改进人工鱼群算法的反TBM目标分配策略
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摘要
反TBM目标分配是防空反导作战指挥决策的关键问题,限制影响因素多,实时准确度要求高。为提升反TBM目标分配效能,构建了目标分配模型,通过引入交叉变异算子,并结合模拟退火算法,对人工鱼群算法进行改进,仿真分析表明,算法的搜索能力和收敛速度得到了提高。
The anti-TBM target assignment is the key problem of air defense antimissile command decision,which has many factors,and the real-time accuracy is high. In order to improve the anti TBM target allocation efficiency,constructs the target distribution model,by introducing the crossover operator and mutation operator and simulated annealing algorithm,the artificial fish swarm algorithm,simulation results show that the search ability and the convergence speed of the algorithm is improved.
The anti-TBM target assignment is the key problem of air defense antimissile command decision,which has many factors,and the real-time accuracy is high. In order to improve the anti TBM target allocation efficiency,constructs the target distribution model,by introducing the crossover operator and mutation operator and simulated annealing algorithm,the artificial fish swarm algorithm,simulation results show that the search ability and the convergence speed of the algorithm is improved.
引文
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[2]张松涛,王公宝,赵虎.含禁忌算子的遗传算法在水面舰艇编队防空作战目标分配中的应用[J].军事运筹与系统工程,2009,23(2):80-83.
[3]叶文,朱爱红,欧阳中辉,等.基于混合离散粒子群算法的多无人作战飞机协同目标分配[J].兵工学报,2010,31(3):331-334.
[4]陈昊.基于Open MP的并行蚁群算法求解协同空战火力分配[J].传感器与微系统,2013,32(1):20-24.
[5]赵迎春,郭强.基于多特征的退火粒子滤波视觉目标跟踪算法[J].软件工程师,2015,61(7):61-64.
[6]李晓磊,路飞,田国会,等.组合优化问题的人工鱼群算法应用[J].山东大学学报,2004,34(5):64-67.
[7]李晓磊,邵之江,钱积新.一种基于动物自治体的寻优模式:鱼群算法[J].系统工程理论与实践,2002,22(11):32-38.
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[9]王蓉,周雪梅.基于改进蜂群算法的雷达网目标分配方法[J].火力与指挥控制,2017,42(12):92-96.