首页> 外文会议>International Conference on Modelling, Identification and Control >Application of particle swarm optimization algorithm in area target fire assignment
【24h】

Application of particle swarm optimization algorithm in area target fire assignment

机译:粒子群算法在区域目标火力分配中的应用

获取原文

摘要

The calculation of ammunition consumption is an important research content of missile fire planning, to give full play to the missile operational effectiveness has important significance. In order to solve the optimization problem of the traditional aiming point distribution method, this paper presents an optimization calculation method of ammunition consumption for attacking area target. In the first place, the optimized calculation model and the calculation process is established. Secondly, through the introduction of particle swarm optimization (PSO) algorithm, the optimal aiming point position is solved. Finally, the rationality and adaptability of the PSO algorithm are compared with the traditional aiming point distribution method. It provides an important support for the fire planning of missile weapon system.
机译:弹药消耗的计算是导弹射击计划的重要研究内容,充分发挥导弹的作战效能具有重要意义。为了解决传统瞄准点分配方法的优化问题,提出了攻击区域目标弹药消耗的优化计算方法。首先,建立了优化的计算模型和计算过程。其次,通过引入粒子群算法(PSO),求解最优瞄准点位置。最后,将PSO算法的合理性和适应性与传统的瞄准点分配方法进行了比较。它为导弹武器系统的射击计划提供了重要的支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号