协同制导空战决策建模及求解算法
Air Combat Decision With Cooperative Guidance and Its Realization Algorithm
查看参考文献17篇
|
文摘
|
为有效提高空战协同作战效能,对采用协同制导后的空战决策问题进行了研究,给出了协同制导平台的选择方法,设计了一种协同制导交接方案。以敌方毁伤最大以及我方损失最小作为目标函数,建立了考虑协同制导的空战决策模型。为提高模型的求解效率,提出一种分布估计免疫算法对该问题进行求解。在免疫算法中引入了基于边缘乘积模块(marginal product model,MPM)的交叉和变异方式,防止优良模式的破坏,利用适应度共享机制增加种群多样性。对提出的空战决策模型,利用分布估计免疫算法进行求解。经仿真对比分析表明,采用协同制导后,作战效能明显提高,分布估计免疫算法求解速度也优于其他相关方法,证明了算法和模型的正确性。 |
|
其他语种文摘
|
In order to improve the effectiveness of cooperative air-combat,the method of selecting cooperative guidance platform was given,and the guidance handover scheme was designed. The maximum loss of the enemy and the minimum loss of our side was taken as the objective function,and the air combat model of cooperative guidance was proposed. The stepwise-estimation immune algorithm was proposed to improve the solving efficiency. The crossover and mutation based on marginal product model were introduced into the immune algorithm to prevent the disrupt of the superior model,and the fitness sharing was incorporated in the new algorithm to enhance the diversity of population. The stepwise-estimation immune algorithm was used to solve the proposed air-combat model. Simulation results show that the combat effectiveness obviously improves by cooperative guidance,and the stepwise-estimation immune algorithm is superior to others. |
|
来源
|
弹道学报
,2018,30(2):12-18 【核心库】
|
|
DOI
|
10.12115/j.issn.1004-499x(2018)02-03
|
|
关键词
|
协同制导
;
空战决策
;
免疫算法
;
分布估计
|
|
地址
|
海军航空大学岸防兵学院, 山东, 烟台, 264001
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1004-499X |
|
学科
|
社会科学总论 |
|
基金
|
国家自然科学基金
|
|
文献收藏号
|
CSCD:6273481
|
参考文献 共
17
共1页
|
|
1.
Chen Jie. Evolutionary decision-making for the dynamic weapon-target assignment problem.
Science China:Series F-information Science,2009,52(11):2006-2018
|
CSCD被引
1
次
|
|
|
|
|
2.
王晓光. 无人机编队超视距空战决策及作战仿真.
控制与决策,2015,28(2):352-357
|
CSCD被引
1
次
|
|
|
|
|
3.
王昱. 基于精英改选机制的粒子群算法的空战纳什均衡策略逼近.
控制理论与应用,2015,32(7):857-865
|
CSCD被引
11
次
|
|
|
|
|
4.
Luo Delin. Heuristic particle swarm optimization algorithm for air combat decision-making on CMTA.
Transactions of Nanjing University of Aeronautics & Astronautics,2006,23(1):20-26
|
CSCD被引
18
次
|
|
|
|
|
5.
Edalat N. Combinatorial auction-based task allocation in multi-application wireless sensor networks.
The 9th International Conference on Embedded and Ubiquitous Computing,2011:3622-3627
|
CSCD被引
1
次
|
|
|
|
|
6.
廖沫. 基于多Agent分布协同拍卖的动态目标分配算法.
北京航空航天大学学报,2007,33(2):180-183
|
CSCD被引
17
次
|
|
|
|
|
7.
Zhao Jiang. Three-dimensional cooperative guidance laws against stationary and maneuvering targets.
Chinese Journal of Aeronautics,2015,28(4):1104-1120
|
CSCD被引
27
次
|
|
|
|
|
8.
肖冰松. 多机空战协同制导决策方法.
系统工程与电子技术,2009,31(3):610-612
|
CSCD被引
15
次
|
|
|
|
|
9.
冉华明. 超视距空战中多机协同制导方法.
北京航空航天大学学报,2014,40(10):1457-1462
|
CSCD被引
4
次
|
|
|
|
|
10.
周德云. 多UCAV超视距协同空战中的交接制导方法.
弹道学报,2017,29(2):1-7
|
CSCD被引
5
次
|
|
|
|
|
11.
樊会涛. 复合制导空空导弹截获目标概率研究.
航空学报,2010,31(6):1225-1229
|
CSCD被引
13
次
|
|
|
|
|
12.
刘兴堂.
现代导航、制导与测控技术,2010:173-176
|
CSCD被引
3
次
|
|
|
|
|
13.
Simone S F. Artificial immune algorithm applied to distribution system reconfiguration with variable demand.
Electrical Power and Energy Systems,2016,82:561-568
|
CSCD被引
8
次
|
|
|
|
|
14.
Shang Ronghua. Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem.
Applied Soft Computing,2016,49:748-758
|
CSCD被引
2
次
|
|
|
|
|
15.
刘振. 协同进化扩展紧致量子进化算法.
控制与决策,2014,29(2):320-326
|
CSCD被引
8
次
|
|
|
|
|
16.
Rahnamayan S. A novel population initialization method for accelerating evolutionary algorithms.
Computers and Mathematics with Applications,2007,53(10):1605-1614
|
CSCD被引
10
次
|
|
|
|
|
17.
Cheng Lijun. An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-angle glaucoma.
Neurocomputing,2012,83(15):1-11
|
CSCD被引
8
次
|
|
|
|
|
了解气象卫星更多信息，请访问