Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (12): 2618-2622.doi: 10.3969/j.issn.1001-506X.2010.12.26

• 系统工程 • 上一篇    下一篇

近空间多武器平台对地攻击多阶段模型及算法

梁晓龙1,2,胡俊华2,荆献勇2,刘安2,冯金富2   

  1. 1. 空军第二飞行学院, 陕西 西安 710306; 2. 空军工程大学工程学院, 陕西 西安 710038
  • 出版日期:2010-12-18 发布日期:2010-01-03

Multi-stage optimization model and algorithm for near space multi-weapon platform attacking ground targets

LIANG Xiao-long1,2,HU Jun-hua2,JING Xian-yong2,LIU An2,FENG Jin-fu2   

  1. 1. Air Force Second Flight Coll., Xi’an 710306, China; 
    2. Inst. of Engineering, Air Force Engineering Univ., Xi’an 710038, China
  • Online:2010-12-18 Published:2010-01-03

摘要:

针对近空间多武器平台对地攻击问题,综合考虑了作战资源、目标毁伤、己方损耗、飞行最短路径等四项关键战技指标,建立了多阶段优化控制模型,给出了相关的推理过程。为避免动态规划及序列规划的计算复杂性,通过设计合适的表达方法,使粒子与可行解对应,给出了改进的粒子群优化算法及算法详细步骤,并分析了改进的粒子群算法快速全局优化的特点,说明该算法能找到优化问题的全局最优解。最后对多阶段优化问题分别用改进的粒子群算法进行求解,仿真结果验证了模型的合理性和算法的有效性。

Abstract:

Aiming at the multi-combat aircrafts attacking ground targets problem, a multi-stage optimization control model is presented, and the steps of the algorithm are given. The global optimal solution of the multi-stage optimization problem is obtained by this improved particle swarm optimization (PSO) algorithm, and the global constringency of this algorithm is analyzed. Simulation results indicate that the multi-stage optimization control model formulated in this paper is rational, and the PSO based algorithm is effective.