Combined Sorting Algorithm for Multi-target Sorting in Joint Firepower Strike

doi:10.3969/j.issn.1000-1093.2020.12.023

Abstract

Abstract: A multi-target combined firepower striking mathematical model is established for target sorting in joint firepower strike. A multi-target combined sorting algorithm based on information flow loop efficiency is designed by comparing and referring to the similar system evaluation algorithm. The system value in the joint firepower strike and the regularity of the firepower strike sorting are studied. The simulation models are designed for the fixed target combination and the dynamic target combination, respectively，and the basic principles of the joint firepower target sorting are proposed and verified. The experimental results show that the multi-target combined sorting based on the information flow loop algorithm meets the target sorting battlefield requirements of the joint firepower strike，and has the universality and applicability in the battlefield.

Key words: jointfirepowerstrike, multi-targetcombinedsorting, super-network, informationflowloopalgorithm, lossfunction

CLC Number:

E837

LIU Hao， XIE Peng， LI Yue. Combined Sorting Algorithm for Multi-target Sorting in Joint Firepower Strike[J]. Acta Armamentarii, 2020, 41(12): 2570-2578.

References

［1］董雪，张德平.基于组合核主成分分析的潜艇威胁度评估模型[J].计算机工程，2018，44(11):40-45.
DONG X，ZHANG D P. Submarine threat degree assessment model based on hybrid kernel principal component analysis[J].Computer Engineering，2018，44(11):40-45.(in Chinese)
[2］杜正军，张国辉，李庆震，等.目标体系效能分析及关键目标打击决策方法[J].火力与指挥控制，2018，43(5):1-4.
DU Z J，ZHANG G H，LI Q Z， et al. Review of decision methods for efficiency analysis of targets system of systems and target selecting[J].Fire Control & Command Control，2018，43(5):1-4. (in Chinese)
[3］李尔玉，龚建兴，黄健，等.基于功能链的作战体系复杂网络节点重要性评价方法[J].指挥与控制学报，2018，4(1):42-49.
LI E Y，GONG J X，HUANG J，et al.Node importance analysis of complex networks for combat systems based on function chain[J].Journal of Command and Control，2018，4(1):42-49.(in Chinese)
[4］程贲，谭跃进，黄魏，等.基于能力需求视角的武器装备体系评估[J].系统工程与电子技术，2011，33(2):320-323.
CHENG B，TAN Y J，HUANG W，et al.Weapon system-of-systems evaluation based on capability requirement perspective[J].Systems Engineering and Electronics，2011，33(2):320-323.(in Chinese)
[5］李锴，吴纬，刘福胜，等.基于PageRank算法的武器装备体系重要节点评估[J].火力与指挥控制，2017，42(11):34-37，42.
LI K，WU W，LIU F S，et al.Evaluating nodes importance in equipment system-of-systems based on PageRank algorithm[J].Fire Control & Command Control，2017，42(11):34-37，42. (in Chinese)
[6］刘昊，张策，丁文韬.基于智能对抗进化的联合火力打击任务规划方法[J].兵工学报，2019,40(6):1287-1296.
LIU H，ZHANG C，DING W T.Joint fire attack mission planning method based on intelligent confrontation evolution [J].Acta Armamentarii，2019,40(6):1287-1296.(in Chinese)
[7］司光亚，王飞，刘洋.基于仿真大数据的体系分析方法研究[J].系统仿真学报，2019，31(3):511-519.
SI G Y，WANG F，LIU Y.System analysis method based on simulation big data[J].Journal of System Simulation，2019，31(3):511-519. (in Chinese)
[8］孙新，李庆洲，赵璞，等.对等网络中一种优化的副本分布方法[J].计算机学报，2014，37(6):1424-1434.
SUN X，LI Q Z，ZHAO P，et al.An optimized replica distribution method for peer-to-peer network[J].Chinese Journal of Compu- ters， 2014，37(6):1424-1434.(in Chinese)
[9］张臻，姜枫，李彭伟.基于重心分析的联合作战计划制定方法[J]. 指挥信息系统与技术，2016，7(3):38-43.
ZHANG Z，JIANG F，LI P W.Method for joint operational design based on gravity analysis[J].Command Information System and Technology，2016，7(3):38-43. (in Chinese)
[10］杨国利，邹瑞涛，任步春，等.网络化作战体系中的关键目标选择研究[J].指挥与控制学报，2018，4(4):312-318.
YANG G L，ZOU R T，REN B C，et al. Key targets selection in networked operation system of systems[J].Journal of Command and Control，2018，4(4):312-318.(in Chinese)
[11］ HUANG Y Y.Modeling and simulation method of the emergency response systems based on OODA[J]. Knowledge-Based Systems,2015,89(2):1290-1297.
[12］薛辉，王源，张天鹏，等.随机组合约束下的联合火力打击弹药需求预测模型[J].兵工学报，2019，40(8):1716-1724.
XUE H，WANG Y，ZHANG T P，et al.Demand forecasting model for joint fire strike ammunition under stochastic combination constraints[J].Acta Armamentarii，2019，40(8):1716-1724. (in Chinese)
[13］文平.有界线性指数损失函数下样本容量的确定[J].统计与决策，2019，35(14):10-13.
WEN P.Use linex loss and blinex loss function for sample size determination[J]. Statistics & Decision，2019，35(14):10-13.(in Chinese)
[14］姚兰，严寒冰，蔚泽峰.鲁棒的交叉熵模糊聚类算法[J].计算机应用研究，2019，36(10):2948-2951.
YAO L，YAN H B，WEI Z F.Robust fuzzy clustering algorithm based on cross entropy[J].Application Research of Computers，2019，36(10):2948-2951. (in Chinese)
[15］蔡琦，蒋立志，张永发.基于多层交叉熵方法的舰船核动力装置非能动系统可靠性评估[J].系统工程与电子技术，2019，41(3):681-685.
CAI Q，JIANG L Z，ZHANG Y F.Reliability evaluation of passive system for marine nuclear power plant based on multi-level cross entropy method[J].Systems Engineering and Electronics，2019，41(3):681-685.(in Chinese)

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