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基于MODPSO-GSA的协同空战武器目标分配

顾佼佼 赵建军 颜骥 陈学东

顾佼佼, 赵建军, 颜骥, 等 . 基于MODPSO-GSA的协同空战武器目标分配[J]. 北京航空航天大学学报, 2015, 41(2): 252-258. doi: 10.13700/j.bh.1001-5965.2014.0119
引用本文: 顾佼佼, 赵建军, 颜骥, 等 . 基于MODPSO-GSA的协同空战武器目标分配[J]. 北京航空航天大学学报, 2015, 41(2): 252-258. doi: 10.13700/j.bh.1001-5965.2014.0119
GU Jiaojiao, ZHAO Jianjun, YAN Ji, et al. Cooperative weapon-target assignment based on multi-objective discrete particle swarm optimization-gravitational search algorithm in air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(2): 252-258. doi: 10.13700/j.bh.1001-5965.2014.0119(in Chinese)
Citation: GU Jiaojiao, ZHAO Jianjun, YAN Ji, et al. Cooperative weapon-target assignment based on multi-objective discrete particle swarm optimization-gravitational search algorithm in air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(2): 252-258. doi: 10.13700/j.bh.1001-5965.2014.0119(in Chinese)

基于MODPSO-GSA的协同空战武器目标分配

doi: 10.13700/j.bh.1001-5965.2014.0119
基金项目: 国家自然科学基金资助项目(61102167, 61105165); 青年科学基金资助项目(61002006); 航空科学基金资助项目(20135184008)
详细信息
    作者简介:

    顾佼佼(1986—), 男, 山东青岛人, 博士生, vxgu86@hotmail.com

    通讯作者:

    赵建军(1965—), 男, 江苏南通人, 教授, zjj@hotmail.com, 主要研究方向为海军武器装备攻防体系对抗与信息化.

  • 中图分类号: V247.1+3;E837

Cooperative weapon-target assignment based on multi-objective discrete particle swarm optimization-gravitational search algorithm in air combat

  • 摘要: 提出基于多目标决策理论的协同空战武器目标分配模型,并用进化多目标优化算法求解.空战是一个多阶段攻防过程,针对多数空战武器目标分配采用一次性完全分配、不考虑火力资源消耗等不足,构建多目标决策模型,在达到毁伤门限的前提下,同时对一次攻击后使敌编队的总期望剩余威胁最小和分配导弹消耗量最小两个目标函数寻优.提出用多目标离散粒子群-引力搜索算法(MODPSO-GSA)求解分配模型,该混合进化多目标优化算法结合二者优点,具有稳定的全局搜索能力并保证收敛到Pareto前沿.该算法可求得满足毁伤门限的不同耗弹量的分配方案最优解集以供指挥员决策参考.仿真算例验证了新模型及所提出MODPSO-GSA进化多目标优化求解算法的有效性.

     

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出版历程
  • 收稿日期:  2014-03-12
  • 网络出版日期:  2015-02-20

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