| 改进的粒子群算法求解火力优化配置 |
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| 引用本文： | 徐克虎,黄大山,王天召.改进的粒子群算法求解火力优化配置[J].兵工自动化,2012,31(6):21-24. |
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| 作者姓名： | 徐克虎 黄大山 王天召 |
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| 作者单位： | 装甲兵工程学院控制工程系,北京,100072;装甲兵工程学院控制工程系,北京,100072;装甲兵工程学院控制工程系,北京,100072 |
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| 基金项目： | 装甲兵工程学院科研创新基金“信息化装甲部（分）队整体火力优化控制研究”（2011CJ040） |
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| 摘 要： | 针对现代化战场作战双方坦克分队进行火力对抗时,需要指挥员能够随时提供合理的火力打击策略这一问题,提出了一种改进的粒子群算法,用于快速求得可行的火力优化配置方案,为指挥员作出打击决策提供依据。与实例对比分析的结果表明,改进的粒子群算法具有很高的求解精度与求解效率,能够满足坦克分队作战需求。
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| 关 键 词： | 坦克分队 火力优化配置 粒子群算法(PSO) |
| 收稿时间： | 2013/3/7 0:00:00 |
Improved Particle Swarm Algorithm for Fire Optimal Assignment |
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| Xu Kehu
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Huang Dashan
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Wang Tianzhao.Improved Particle Swarm Algorithm for Fire Optimal Assignment[J].Ordnance Industry Automation,2012,31(6):21-24. |
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| Authors: | Xu Kehu Huang Dashan Wang Tianzhao |
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| Affiliation: | (Dept. of Control Engineering, Academy of Armored Force Engineering, Beijing 100072, China) |
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| Abstract: | Aiming at the commander will give reasonable fire strike strategy in anytime in modern battlefield tank unit fire counterwork, an improved particle swarm algorithm is introduced to generate a feasible fire assignment scheme in a short time, which provided a basis for decision making. The comparison result shows improved particle swarm algorithm has high accuracy and efficiency, which can meet the operation requirements of tank unit. |
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| Keywords: | tank unit fire optimal assignment particle swarm algorithm |
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