Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (8): 1778-1782.doi: 10.3969/j.issn.1001-506X.2011.08.19

• 系统工程 • 上一篇    下一篇

多波次火力进攻战斗中作战单元使用任务规划

董岳, 于永利, 张柳, 李东东, 任帆   

  1. 军械工程学院装备指挥与管理系维修工程实验中心, 河北 石家庄 050003
  • 出版日期:2011-08-15 发布日期:2010-01-03

Combat unit usage mission scheduling for multiple waves fire attack

DONG Yue, YU Yong-li, ZHANG Liu, LI Dong-dong, REN Fan   

  1. Maintenance Engineering Institute, Department of Equipment Command and Management, Mechanical Engineering College, Shijiazhuang 050003, China
  • Online:2011-08-15 Published:2010-01-03

摘要:

作战单元使用任务的完成是作战训练任务执行的基础和前提。为了保证作战单元能够顺利执行作战训练任务,需要考虑武器系统的可靠性维修性保障性等质量特性对其使用任务进行合理规划。以作战单元多波次进攻战斗为背景,建立了基于任务效能的使用任务规划模型,并提出了一种改进的基于遗传-离散粒子群混合优化算法来求解规划模型。通过与离散粒子群算法和遗传算法的实例比较,结果证明了该方法的有效性和优越性。

Abstract:

Combat unit usage mission completement is the foundation and precondition of combat and training. To guarantee combat unit should normally execute combat and training mission, its usage mission has to be reasonably assigned considering reliability, maintainability and supportability and the other quality characteristics of weapon systems. A usage mission scheduling model based on the mission effectiveness is set up under the background of multiple waves attack of weapon systems. Based on the new model, a mixed genetic and discrete particle swarm optimization (DPSO) algorithm is proposed to solve the usage mission scheduling. Compared with the discrete particle swarm algorithm and genetic algorithm respectively, the results of simulation experiments prove that the method is more effective and superior.