一种多作战编队下的目标编群算法  

Target Grouping Algorithm Based on Multiple Combat Formations

作　　者：袁德平[1] 郑娟毅[2] 史浩山[1] 刘宁[1] 

机构地区：[1]西北工业大学电子信息学院,西安710129 [2]西安邮电大学通信与信息工程学院,西安710121

出　　处：《计算机科学》2016年第2期235-238,244,共5页Computer Science

基　　金：国家自然科学基金项目(61201194);陕西省科学技术研究发展计划项目(2013K06-07)资助

摘　　要：在敌多目标对我多目标群进攻的态势下,提出了一种对敌目标分群的算法。该算法首先根据敌目标的几何态势要素,采用约束条件下的chameleon算法实现敌目标的空间聚类;再根据敌空间群的几何要素,推算出敌空间群对我空间群的进攻要素优势函数,并形成空间群进攻要素矩阵;最后通过对进攻要素的主、客观权重的推导,计算出综合权重和敌我双方空间群的进攻矩阵,进而划分出敌相互关系群。通过场景的设定与算法的仿真验证,证明了该算法的有效性。A clustering algorithm was proposed for grouping enemy targets in the situation of the enemy multiple targets attacking our target groups.Firstly,the spatial clustering is realized by the constrained chameleon algorithm based on the geometric elements of the enemy＇s targets.And then,the advantage function of the attacking elements for the enemy＇s space group is calculated by the geometric elements of enemy space groups,and the attack factor matrix of the space groups between two sides is formed.Finally,the enemy＇s relationship groups are divided by a series derivation including computing the subjective weight and objective weight of the attack elements,deducing the synthetic weight and the attack matrix of the space groups between two sides.The effectiveness of the proposed algorithm was verified by the simulation of the given scene.

关 键 词：目标分群 CHAMELEON算法 进攻优势函数 综合权重 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]