密集火力打击目标选择及WTA求解算法
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摘要
针对舰艇编队进行攻击作战任务时,目标数量多且攻击火力有限的情况,提出了基于模糊隶属集理论的目标任务契合度计算方法,有助于减少主观判断的失误,找到任务价值最高的目标;同时,进行密集火力攻击时,提高火力的攻击密度的重要途径就是进行合理的目标火力分配,通过考虑火力单元转火攻击时间准备问题,建立多波次火力攻击平台目标分配模型,并采用改进的多层次编码的遗传算法,通过算例证明求解效率较高,可以适应作战需要,并有助于提高战场决策和战场武器资源分配效率。
When the naval formations perform the attack mission,they may face many targets but have limited attack firepower. A method is proposed for calculating the fitness between target and task based on fuzzy membership theory,which helps to reduce subjective judgment errors and find the targets with the highest mission value. At the same time,when conducting intensive fire attacks,an important way of increasing the attack density of firepower is to make reasonable target fire distribution. By considering the problem of firepower unit attack preparation time,a multi-wave fire attack platform target distribution model is established and improved. The example can prove that multi-level coded genetic algorithm can meet the operational needs with high efficiency. The research may improve the efficiency of battlefield decision-making and distribution of weapon resources on the battlefield.
When the naval formations perform the attack mission,they may face many targets but have limited attack firepower. A method is proposed for calculating the fitness between target and task based on fuzzy membership theory,which helps to reduce subjective judgment errors and find the targets with the highest mission value. At the same time,when conducting intensive fire attacks,an important way of increasing the attack density of firepower is to make reasonable target fire distribution. By considering the problem of firepower unit attack preparation time,a multi-wave fire attack platform target distribution model is established and improved. The example can prove that multi-level coded genetic algorithm can meet the operational needs with high efficiency. The research may improve the efficiency of battlefield decision-making and distribution of weapon resources on the battlefield.
引文
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[11] MA Shi-dong,ZHANG Hong-zhi,YANG Guo-qing. Target Threat Level Assessment Based on Cloud Model under Fuzzy and Uncertain Conditions in Air Combat Simulation[J]. Aerospace Science and Technology,2017,67:49-53.
[12]姜鲁东,余家祥,斗计华.水面舰艇编队区域防空导弹目标分配模型研究[J].现代防御技术,2012,40(3):29-33,71.JIANG Lu-dong,YU Jia-xiang,DOU Ji-hua. Research on Target Distribution Model of Surface Air Defense Missile in Surface Ship Formation[J]. Modern Defence Technology,2012,40(3):29-33,71.
[13]谢宇鹏,王宗杰,杨士锋,等.舰艇编队抗导弹饱和攻击模型[J].火力与指挥控制,2014,39(3):23-26.XIE Yu-peng,WANG Zong-jie,YANG Shi-feng,et al.Model of Anti-Missile Attack of Warship Formations[J]. Fire Control&Command Control,2014,39(3):23-26.
[14]董朝阳,路遥,王青.改进的遗传算法求解火力分配优化问题[J].兵工学报,2016,37(1):97-102.DONG Chao-yang,LU Yao,WANG Qing. Improved Genetic Algorithm for Solving Firepower Distribution Optimization Problem[J]. Acta Armamentari,2016,37(1):97-102.
[15]杨颖,魏鹏,蒋鸣,等.基于并行蚁群算法的常规导弹作战任务分配[J].弹箭与制导学报,2014,34(5):189-192.YANG Ying,WEI Peng,JIANG Ming,et al. Conventional Missile Combat Task Assignment Based on Parallel Ant Colony Algorithm[J]. Journal of Projectiles,Rockets and Guidance,2014,34(5):189-192.
[16]李亚雄,刘新学,武健.基于改进遗传算法的多弹型混合火力分配优化模型[J].指挥控制与仿真,2017,39(4):50-54.LI Ya-xiong,LIU Xin-xue,WU Jian. Multi-Elastic Hybrid Firepower Distribution Optimization Model based on Improved Genetic Algorithm[J]. Command Control&Simulation,2017,39(4):50-54.
[2]杨飞,董朝阳,王青.实施饱和攻击的反舰导弹武器目标分配[J].系统仿真学报,2011,23(2):316-320.YANG Fei,DONG Chao-yang,WANG Qing. Target Allocation of Anti-Ship Missile Weapon with Saturation Attack[J]. Journal of System Simulation,2011,23(2):316-320.
[3]张最良.钱学森论军事运筹与军事系统工程[J].军事运筹与系统工程,2001(4):4-9.ZHANG Zui-liang. The Discussion of QIAN Xue-sen on Military Operations and Military Systems Engineering[J]. Military Operations and Systems Engineering,2001(4):4-9.
[4]李建立.武器—目标动态火力分配及战效评估的研究[D].南昌:南昌航空大学,2014.LI Jian-li. Research on Weapon-Target Dynamic Firepower Distribution and Effectiveness Evaluation[D].Nanchang:Nanchang Aviation University,2014.
[5]王玮,史红权,王磊,等.舰艇编队协同作战的空中目标威胁评估研究[J].现代防御技术,2014,42(6):79-83,110.WANG Wei,SHI Hong-quan,WANG Lei,et al. Research on Air Target Threat Assessment of Ship Formation Cooperative Operation[J]. Modern Defence Technology,2014,42(6):79-83,110.
[6]李佳.任务编队与基于贝叶斯网络的防空威胁评估模型研究[D].武汉:华中科技大学,2016.LI Jia. Research on Mission Formation and Air Defense Threat Assessment Model Based on Bayesian network[D]. Wuhan:Huazhong University of Science and Technology,2016.
[7]陈开元,宋元.海面目标威胁评估指标体系分析[J].舰船电子工程,2009,29(6):66-70.CHEN Kai-yuan,SONG Yuan. Analysis of the Threat Assessment Index System for Sea Surface Targets[J].Ship Electronic Engineering,2009,29(6):66-70.
[8]陈守煜.可变模糊集合理论与可变模型集[J].数学的实践与认识,2008(18):146-153.CHEN Shou-yu. Variable Fuzzy Set Theory and Variable Model Sets[J]. Mathematics in Practice and Theory,2008(18):146-153.
[9] MIAO Xu-dong,WANG Yong-chun. Intuitionistic Fuzzy Multiattribute Group Decision Making Models Using Mathematical Programming Approach[J]. Journal of Computational Information Systems,2008,4(6):2793-2801.
[10]董奎义,杨根源,王子明.基于概率神经网络的编队协同防空威胁评估[J].现代防御技术,2011,39(5):71-74,80.DONG Kui-yi,YANG Gen-yuan,WANG Zi-ming. Evaluation of Cooperative Air Defense Threat Based on Probabilistic Neural Network[J]. Modern Defence Technology,2011,39(5):71-74,80.
[11] MA Shi-dong,ZHANG Hong-zhi,YANG Guo-qing. Target Threat Level Assessment Based on Cloud Model under Fuzzy and Uncertain Conditions in Air Combat Simulation[J]. Aerospace Science and Technology,2017,67:49-53.
[12]姜鲁东,余家祥,斗计华.水面舰艇编队区域防空导弹目标分配模型研究[J].现代防御技术,2012,40(3):29-33,71.JIANG Lu-dong,YU Jia-xiang,DOU Ji-hua. Research on Target Distribution Model of Surface Air Defense Missile in Surface Ship Formation[J]. Modern Defence Technology,2012,40(3):29-33,71.
[13]谢宇鹏,王宗杰,杨士锋,等.舰艇编队抗导弹饱和攻击模型[J].火力与指挥控制,2014,39(3):23-26.XIE Yu-peng,WANG Zong-jie,YANG Shi-feng,et al.Model of Anti-Missile Attack of Warship Formations[J]. Fire Control&Command Control,2014,39(3):23-26.
[14]董朝阳,路遥,王青.改进的遗传算法求解火力分配优化问题[J].兵工学报,2016,37(1):97-102.DONG Chao-yang,LU Yao,WANG Qing. Improved Genetic Algorithm for Solving Firepower Distribution Optimization Problem[J]. Acta Armamentari,2016,37(1):97-102.
[15]杨颖,魏鹏,蒋鸣,等.基于并行蚁群算法的常规导弹作战任务分配[J].弹箭与制导学报,2014,34(5):189-192.YANG Ying,WEI Peng,JIANG Ming,et al. Conventional Missile Combat Task Assignment Based on Parallel Ant Colony Algorithm[J]. Journal of Projectiles,Rockets and Guidance,2014,34(5):189-192.
[16]李亚雄,刘新学,武健.基于改进遗传算法的多弹型混合火力分配优化模型[J].指挥控制与仿真,2017,39(4):50-54.LI Ya-xiong,LIU Xin-xue,WU Jian. Multi-Elastic Hybrid Firepower Distribution Optimization Model based on Improved Genetic Algorithm[J]. Command Control&Simulation,2017,39(4):50-54.