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计算机工程 ›› 2011, Vol. 37 ›› Issue (19): 252-254. doi: 10.3969/j.issn.1000-3428.2011.19.083

• 开发研究与设计技术 • 上一篇    下一篇

不确定环境下的部队作战机动策略

杨正磊,宋建社,叶 庆,古西睿   

  1. (第二炮兵工程学院科研部,西安 710025)
  • 收稿日期:2011-04-20 出版日期:2011-10-05 发布日期:2011-10-05
  • 作者简介:杨正磊(1983-),男,博士研究生,主研方向:系统工程,信息处理;宋建社,教授、博士;叶 庆,博士研究生;古西睿,讲师、博士研究生
  • 基金资助:
    国家自然科学基金资助重点项目“信息防护关键技术研究”(69931040)

Army Combat Maneuvering Strategy Under Uncertain Environment

YANG Zheng-lei, SONG Jian-she, YE Qing, GU Xi-rui   

  1. (Department of Science Research, Second Artillery Engineering College, Xi’an 710025, China)
  • Received:2011-04-20 Online:2011-10-05 Published:2011-10-05

摘要: 机动作战是提高导弹部队战时生存能力的有效途径,而机动过程中的随机因素给部队机动带来一系列不确定性。为此,分析不确定因素对作战机动过程的影响,将其转化到机动速度的不确定性上,建立基于随机速度的机动策略模型,并通过随机模拟和蚁群系统对模型进行求解。实验结果证明该模型的合理性和算法的有效性。

关键词: 不确定性, 机动策略, 随机速度, 蚁群系统, 随机模拟

Abstract: Combat maneuvering is a effective approach to improve viability of missile army in battle time, but stochastic factors in the process of combat maneuvering bring a series of uncertainties, this paper analyzes the influence of uncertain factors in the process of combat maneuvering, the uncertainty of environment is translated into uncertainty of maneuvering velocity, the model of maneuvering strategy based on stochastic velocity is established, and an algorithm based on stochastic simulation and ant colony system is proposed. Simulation experimental results show that the model is reasonable and the algorithm is valid.

Key words: uncertainty, maneuvering strategy, stochastic velocity, ant colony system, stochastic simulation

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