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作 者:周鑫 王维平[1] 朱一凡[1] 王涛[1] 井田 ZHOU Xin;WANG Weiping;ZHU Yifan;WANG Tao;JING Tian(College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)
机构地区:[1]国防科技大学系统工程学院,湖南长沙410073
出 处:《系统工程与电子技术》2021年第11期3211-3219,共9页Systems Engineering and Electronics
基 金:国家自然科学基金(72101263);湖南省自然科学基金(2019JJ20024)资助课题。
摘 要:当前战争愈加复杂,如何设计和选择最优无人装备体系以完成使命是一项难题。针对该问题,提出一种无人装备体系架构超网络模型和一种方案空间搜索算法。首先,基于作战能力生成要素给出了无人装备体系形式化描述框架。其次,提出了无人装备体系架构方案空间搜索问题框架,其目标是寻找到使预期收益最大化和使累积成本最小化的最优架构。然后,提出了一种基于顺次分配机制的最优架构方案动态搜索算法。最后,通过仿真实验检验了该算法。实验结果表明,该算法明显优于其他几种基准算法,提出的架构框架和方案空间搜索算法具有辅助决策的价值。The war becomes more and more complicated currently.How to design and select the best unmanned equipment system-of-systems(SoS)to complete the mission is a difficult problem.In order to solve this problem,a super-network based unmanned equipment SoS architecture model and a space exploration algorithm are proposed.Firstly,a formal description framework of the unmanned equipment SoS is given based on the elements of combat capability generation.Secondly,a framework for the unmanned equipment SoS architecture scheme space exploration problem is put forward,the goal of which is to find several optimal architectures with maximized expected rewards and minimized accumulated costs.Thirdly,a dynamic search algorithm for the optimal architecture scheme based on sequential allocation mechanism is proposed.Finally,the algorithm is tested through simulation experiments.Experimental results show that the proposed algorithm is significantly better than other benchmark algorithms.The architecture framework and solution space exploration algorithm proposed have the function of assisting decision-making.
关 键 词:无人装备体系 架构 超网络 顺次分配机制 动态规划
分 类 号:N945.15[自然科学总论—系统科学]
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