基于蚂蚁聚类算法的炮兵阵地选取方法  

An Ant-Clustering-Algorithm-based Approach for Artillery Position Seletion

作　　者：赵基海[1] 刘玉树[1] 陈云飞[1] 范洁[1] 

机构地区：[1]北京理工大学,北京100081

出　　处：《火力与指挥控制》2006年第4期19-22,共4页Fire Control & Command Control

基　　金："十五"国家预研基金资助项目

摘　　要：在对炮兵作战地域进行地形分析的基础上,提出运用蚂蚁聚类算法选取炮兵阵地的方法。针对炮兵阵地配置的特殊要求,将模糊数学中的隶属度概念引入到炮兵阵地聚类算法之中。最后通过实验分析了此方法的优缺点,对炮兵指挥决策有一定的参考价值。On the basis of topography analysis of the artillery operational zone, this paper proposes an ant-clustering-algorithm-based method for artillery position selection. In order to meet the conditions of artillery position deployment,this paper applys membership degree in fuzzy mathematics to the artillery position clustering algorithm. Moreover, this paper analyzes the approach＇s advantages and disadvantages by experiments. It is believed this paper is a useful attempt for the decision making process of artillery commond.

关 键 词：炮兵阵地选取 蚂蚁聚类算法 聚类 

分 类 号：V279[航空宇航科学与技术—飞行器设计]