摘要
针对传统多机多目标攻击不易解算攻击任务分配,且计算量大的问题,提出基于划分的多目标模糊聚类算法,该算法根据目标属性的相似性进行多目标分类,可以有效地降低多目标任务分配解算维数,减少运算量,提高解算速度。采用FCM算法以及改进FCM算法度量方式构成的其他各个不同算法,建立空战多目标模糊聚类数学模型,对两组不同数据进行仿真分析,得到不同情况下的各算法的优劣性及适用性。
The method of fuzzy partitional cluster algorithm is applied to classify the multi-target in the air combat,to be aimed at the shortcoming of traditional algorithm in calculating attack strategy difficultly.This algorithm reduces the computational complexity,and raises the operating speed by considering multi-target as a whole.Finally,multi-target colonies attack mathematical model is established,and uses the FCM （Fuzzy C-means） algorithm and improves FCM algorithm with different metrics based on two different multi-targets data,and divides them into several colonies according to the simulation in different targets.The simulation result indicates the algorithm＇s validity and applicability in different situation.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第28期236-239,共4页
Computer Engineering and Applications
