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兵工学报 ›› 2018, Vol. 39 ›› Issue (8): 1655-1664.doi: 10.3969/j.issn.1000-1093.2018.08.024

• 研究简报 • 上一篇    

基于回合制的火力分配优化问题建模方法研究

薛辉1,2, 刘铁林1, 乔治军3, 杨兆坤1   

  1. (1.陆军工程大学石家庄校区 装备指挥与管理系, 河北 石家庄 050003;2.空军石家庄飞行学院, 河北 石家庄 050071; 3.空军研究院 系统工程研究所, 北京 100085)
  • 收稿日期:2017-12-05 修回日期:2017-12-05 上线日期:2018-09-21
  • 通讯作者: 刘铁林(1971—),男,教授,博士生导师 E-mail:sfep2001@sina.com
  • 作者简介:薛辉(1987—),男,博士研究生。E-mail:847057728@qq.com

Research on Round-based Modeling Method for Firepower Distribution Optimization Problem

XUE Hui1,2, LIU Tie-lin1, QIAO Zhi-jun3, YANG Zhao-kun1   

  1. (1.Department of Equipment Command and Management, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, Hebei, China;2.Shijiazhuang Flying College of the PLA Air Force, Shijiazhuang 050071, Hebei, China;3.Research Institute of System Engineering, Air Force Research Academy, Beijing 100085, China)
  • Received:2017-12-05 Revised:2017-12-05 Online:2018-09-21

摘要: 为解决火力分配中目标威胁度量化评估难,以及不同装备使用不同弹药对不同目标的毁伤效果差异大问题,建立了火力分配优化问题模型,该模型以最大战斗力指数为目标函数,并在火力分配基础上提出了装备-弹药-目标的分配方法。以武器装备回合战斗力指数为火力分配依据,有效解决了当前优化模型中很难精确确定不同目标威胁度大小问题;以回合制为计算周期确定装备战斗力指数、弹药消耗发数及装备运用方案等,有效解决了当前优化模型中一次计算后目标动态变化造成的火力资源浪费以及实时动态分配造成的计算困难等难题。运用遗传算法求解所建立的模型,算例结果验证了模型的可行性和有效性。

关键词: 火力分配, 战斗力指数, 回合制, 遗传算法

Abstract: For the difficulty in the quantitative evaluation of target threat, and the great difference in the damage effects of different weapons with different ammunition against different targets, an firepower distribution optimization model is established, in which the maximum combat effectiveness index is taken as the objective function, and an weapon-ammunition-target assignment method is proposed based on weapon-target assignment. In the proposed model, the combat effectiveness index of weapon is taken as a basis of firepower distribution, which can effectively determine the threat degrees of different targets. The model is used to determine the equipment combat effectiveness, ammunition consumption and equipment utilization scheme during rounds, and also effectively solve the wasting of fire resources caused by dynamic change of target and the difficulty of calculation caused by the real-time dynamic assignment. The genetic algorithm is applied to solve the proposed model. The calculated results show that the proposed model is feasible and effective. Key

Key words: weapon-targetassignment, combateffectivenessindex, round, geneticalgorithm

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