基于蚁群算法的航空弹药需求测算  

Research on the Calculation of the Air Ammunition's Demand based on the Ant Colony Clustering

作　　者：陶茜[1] 彭力[1] 潘勃[1] 王瑛[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《火力与指挥控制》2010年第9期34-37,共4页Fire Control & Command Control

基　　金：国家高技术研究发展计划(863)基金(2007AAJ127);空军预研基金资助项目(KJ08053)

摘　　要：智能化是现代航空弹药需求与指挥控制系统的发展趋势,如何进行合理快速地调拨航空弹药是系统设计过程中的关键任务之一。为此,提出了依据目标对航空弹药进行选择的策略,利用蚁群算法对战斗目标进行聚类分析,对各类目标进行模糊综合评判,从而确定装备出动方案,依据弹药与装备的关系,对满足既定保障度的弹药需求量建立模型,并计算出满足既定保障度的弹药供应量,为战前对战场态势预估,实现弹药战时及时准确调拨,为作战弹药准备提供依据。Calculation intelligence leads the trend of the air ammunition demand anticipation and the development of command and control system.So how to distribute the air ammunition efficiently is the key factor in the process of the system designing.In that case,the text brings about a tactic that to choose the air ammunition based on the targets.Firstly,we uses the ACC to distinguish each different kinds of battle targets into different groups,and then uses the Gray Relevancy Fuzzy Judgment to analyze each group.So we can ascertain the campaign project.Secondly,we uses the connections between the equipment and ammunition to set up a mathematics model of the ammunition demands.And the thirdly,we calculate ammunition demand to satisfy the definite degree.This method is better in the anticipation of the battle field complexions,and brings about a foundation to the amount of battle ammunition.

关 键 词：航空弹药 蚁群聚类算法 模糊综合评判 保障度 

分 类 号：TP391.75[自动化与计算机技术—计算机应用技术]