摘要
结合战时装备保障实际情况和战损装备抢修任务特点,分析了现有战损装备抢修任务指派模型的特点及不足.依据紧急程度对战损装备抢修任务进行分类,建立了不同紧急度对应的装备抢修任务指派模型,重点是利用蚁群算法对模型进行求解.最后通过某装备保障想定的实例进行了验证,结果表明该算法操作简单、切实有效,能有效实施战损装备应急抢修任务的指派,在装备保障智能决策系统中有较好的应用前景.
Based on the factual situation of the equipment support at the current war and the characteristics of rush-repair tasks of damaged equipments, the characteristics and shortcomings of the existing rush-repair task assignment model is analysed, the rush-repair tasks of damaged equipments are classed according to the different urgency level; the rush- repair tasks assignment model with the different urgency level is made, the focus is on using the ant colony algorithm to solve the model. Finally a example from a equipment support scenario validated the model and the result indicates that the method proves simple and available, which can implement rush-repair task assignment of damaged equipments effectively. This method would have potential application prospect in equipment support intelligent decision support system.
出处
《数学的实践与认识》
CSCD
北大核心
2012年第19期160-165,共6页
Mathematics in Practice and Theory
基金
国家自然科学基金(60904071)
关键词
装备抢修
指派模型
蚁群算法
紧急程度
rush-repair
assignment model
ant colony algorithm
urgency level
