[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

基于分解进化算法的飞行器投弹规划

  • 钟鸣 ,
  • 杨任农 ,
  • 吴军 ,
  • 张欢 ,
  • 张强
展开
  • 空军工程大学航空航天工程学院,西安 710038

钟鸣(1993-),男,山东诸诚人,硕士研究生,研究方向:作战规划。

收稿日期: 2018-01-12

  网络出版日期: 2025-05-30

Aircraft Bombing Planning Based on Multi-objective Evolutionary Algorithm

  • ZHONG Ming ,
  • YANG Rennong ,
  • WU Jun ,
  • ZHANG Huan ,
  • ZHANG Qiang
Expand
  • Aeronautics and Astronautics of Engineering College, Air Force Engineering University, Xi'an 710038, China

Received date: 2018-01-12

  Online published: 2025-05-30

摘要

为解决如何在不同任务条件下快速规划出最优投弹方式,提出了对地攻击任务中飞行器投弹规划建模方法。分析攻击精度、炸弹攻击威力、飞行器安全性等3个方面,并考虑投弹任务中的特殊的弹着要求,针对无特殊投弹要求、有投弹高度要求、有弹着角度要求等3种情况进行建模。运用分解的多目标进化算法对模型进行求解,仿真结果表明,文中提出的投弹规划建模方法能满足任务要求、且将投弹效果最优化。

本文引用格式

钟鸣 , 杨任农 , 吴军 , 张欢 , 张强 . 基于分解进化算法的飞行器投弹规划[J]. 弹箭与制导学报, 2018 , 38(4) : 37 -40,44 . DOI: 10.15892/j.cnki.djzdxb.2018.04.009

Abstract

In order to solve the problem of how to optimize the bombing method under different task conditions, a modeling method for aircraft bombardment planning in ground attack missions is proposed. Three aspects are analyzed, including attack accuracy bomb attack power, and aircraft safety And considering special bullet requirements in the projectile mission modeling are performed in for three situations: no special projectile requirements, projectile height requirements, and bullet angle requirements. Based on decomposition method the multi-objective evolutionary algorithm is used to solve the modeling. The simulation results show that the model presented in this paper can obtain the planning of bombing which can both meet the mission request and effect optimization.

[an error occurred while processing this directive]

参考文献

[1]
羊劲衡,王星,陈游,等. 吸收型箔条云对雷达波的干扰效能[J]. 空军工程大学学报(自然科学版) ,2018,19(3): 49-53.
[2]
余超,谢文俊,吴华兴,等. 基于跃升-俯冲投弹的无人机攻击方法研究[J]. 计算机仿真,2014,31(9): 88-91.
[3]
方玉峰,张安. 激光制导炸弹作战效能评估研究[J]. 兵工学报,2003,24(2): 212-215.
[4]
鲁卿,冯国富,胡俊华. 基于层次分析法的飞机轰炸姿态优化设计[J]. 弹箭与制导学报,2004,24(2): 235-237.
[5]
王绪军,田应元. 低空投弹仿真与测试技术[J]. 舰船科学技术,2012,34(5): 113-116.
[6]
田应元,候小波,张翠兰. 投弹条件对空投弹道落点散布影响[J]. 水雷战与舰船防护,2009,17(1): 49-52.
[7]
王庆江,高晓光. 激光制导炸弹的仿真及其有效投弹区的计算[J]. 火力指挥与控制,2008,33(8): 44-47.
[8]
ZHANG Q F,LI H. MOEA/D: A Multi-objective evolutionary algorithm based on decomposition[J]. IEEE Transaction on Evolutionary Computation,2007,11(6): 712-731.
[9]
谭艳艳. 几种改进的分解类多目标进化算法及其应用[D]. 西安: 西安电子科技大学, 2013,
[10]
ZHANG Q, LIU W, LI H. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instance[C]//IEEE. Proceedings of 2009 IEEE Congress on Evolutionary Computation. S.1.]: IEEE, 2009: 203-208.
[11]
ZHANG Y, YANG RON, ZUO JL, et al. Enhancing MOEA/D with uniform population initialization, weight vector design and adjustment using uniform design[J]. Journal of Systems Engineering and Electronics, 2015, 26(5): 1010-4022.
[12]
丁大维. 基于分解的多目标进化算法(MOEA/D)在天线优化设计中的应用研究[D]. 镇江: 江苏大学, 2012,
[13]
ISHIBUSHI H, SANKANE Y, TSUKAMOTO N, et al. Evolutionary many-objective optimization by NSGA-II and MOEA/D with large population[C] //IEEE. Proceeding of 2009 International Conference on Systems, Man, and Cybernetics. S.1.]: IEEE, 2009: 1758-4763.
[14]
LIH, ZHANG Q. Multi-objective optimization problems with complicated pareto sets, MOEA/D and NSGAII[J]. IEEE Transactions on Evolutionary Computation, 2009, 13(2): 284-302.
文章导航

/

[an error occurred while processing this directive]