引用本文:丁舒忻,陈晨,辛斌,陈杰.火力单元部署优化问题的现状与进展[J].控制理论与应用,2015,32(12):1569~1581.[点击复制]
DING Shu-xin,CHEN Chen,XIN Bin,CHEN Jie.Status and progress in deployment optimization of firepower units[J].Control Theory and Technology,2015,32(12):1569~1581.[点击复制]
火力单元部署优化问题的现状与进展
Status and progress in deployment optimization of firepower units
摘要点击 3834  全文点击 3158  投稿时间：2014-11-16  修订日期：2015-11-26
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DOI编号  10.7641/CTA.2015.41060
  2015,32(12):1569-1581
中文关键词  网络化火控系统  火力单元  部署  数学模型  优化
英文关键词  networked fire control system  firepower units  deployment  mathematical models  optimization
基金项目  国家自然科学基金项目(61203181, 61304215), 北京市优秀博士学位论文指导教师科技项目(20131000704), 国家自然科学基金创新研究群体科学 基金项目(61321002), 高等学校博士学科点专项科研基金项目(20131101120033)资助.
作者单位E-mail
丁舒忻 北京理工大学自动化学院 复杂系统智能控制与决策国家重点实验室 20080115@bit.edu.cn 
陈晨* 北京理工大学自动化学院 复杂系统智能控制与决策国家重点实验室 xiaofan@bit.edu.cn 
辛斌 北京理工大学自动化学院 复杂系统智能控制与决策国家重点实验室  
陈杰 北京理工大学自动化学院 复杂系统智能控制与决策国家重点实验室  
中文摘要
      随着信息技术在军事领域中的运用, 以网络中心战为理论的信息化战争变得更加具有优势. 火力单元部署 是网络化战争中的一个重要研究内容, 涉及如何充分利用有限的资源来最大化部署火力单元的防御能力. 它是一 种多约束非线性优化问题. 本文对网络化火控系统中火力单元部署优化问题及其研究方法的进展进行了综述. 首 先介绍了火力单元部署优化问题的基本研究现状. 其次从部署空间、约束条件、目标函数3个方面总结了火力单元 部署的数学模型, 并讨论了求解火力单元部署问题的优化方法, 包括编码、约束处理、多目标处理和求解算法的研 究现状. 最后阐述了火力单元部署优化中的重点以及发展趋势.
英文摘要
      With the application of information technology to the military field, the advantages of information-based military operations based on network-centric warfare theory become more obvious. The deployment of firepower units is a key issue in networked military operations, which involves how to substantially apply the limited resources to maximize the defending abilities of the firepower units. It is one of the non-linear optimization issues with multiple constraints. The deployment optimization of firepower units (DOFU) and their approaches in networked fire control system (NFCS) are reviewed in this paper. Firstly, the fundamental research status of DOFU is reviewed. Secondly, the mathematical model of the deployment of firepower unit is summarized based on three aspects including deployment space, constraints and objective function. Besides, research progress of DOFU methods, which consist of encoding, constraints-handling, multiobjective- handling and the algorithm, is discussed. Finally, the conclusions of the key issues and the development trend of DOFU are elaborated.