基于蜂群算法的战时毁伤装备维修任务调度研究  

Job-Scheduling for Damaged Equipments in Wartime based on Wasp Colony Algorithm

作　　者：王浩[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《火力与指挥控制》2009年第S1期141-144,共4页Fire Control & Command Control

摘　　要：现代战争中,装备的战损率大大提高,装备维修任务十分繁重,如何在最短的时间内将损坏的装备修复好,是装备维修决策的重要内容之一[1]。鉴于蜂群算法在任务调度特别是动态随机任务调度中的优势,将蜂群算法引入装备维修任务调度研究,并进行了仿真实验,通过测试案例的仿真结果表明,蜂群算法对于动态随机任务调度具有很强的优势。最后对蜂群算法中的各参数对于仿真结果的影响进行了分析。Damage rate of Equipments is very large in the modern wartime,and repair task is extremely burdensome.How to schedule repair work is essential for the repair decision-making.Because of the great performance of Wasp Colony Algorithm(WCA).The paper used the WCA to research problem of the repair scheduling, and test instance are included.Results from the instance make it clear that WCA is of great advantage for dynamic and stochastic jobs in the wartime.Finally,the paper analyzed the influence of parameters of WCA,which exists jumping points for the optimized results.

关 键 词：毁伤装备 蜂群算法 任务调度 

分 类 号：TJ07[兵器科学与技术—兵器发射理论与技术]