多波次火力进攻战斗中作战单元使用任务规划  

Combat unit usage mission scheduling for multiple waves fire attack

作　　者：董岳[1] 于永利[1] 张柳[1] 李东东[1] 任帆[1] 

机构地区：[1]军械工程学院装备指挥与管理系维修工程实验中心,河北石家庄050003

出　　处：《系统工程与电子技术》2011年第8期1778-1782,共5页Systems Engineering and Electronics

基　　金：中国博士后科学基金(20080430231);国防预研项目(51319060101)资助课题

摘　　要：作战单元使用任务的完成是作战训练任务执行的基础和前提。为了保证作战单元能够顺利执行作战训练任务,需要考虑武器系统的可靠性维修性保障性等质量特性对其使用任务进行合理规划。以作战单元多波次进攻战斗为背景,建立了基于任务效能的使用任务规划模型,并提出了一种改进的基于遗传-离散粒子群混合优化算法来求解规划模型。通过与离散粒子群算法和遗传算法的实例比较,结果证明了该方法的有效性和优越性。Combat unit usage mission completement is the foundation and precondition of combat and training.To guarantee combat unit should normally execute combat and training mission,its usage mission has to be reasonably assigned considering reliability,maintainability and supportability and the other quality characteristics of weapon systems.A usage mission scheduling model based on the mission effectiveness is set up under the background of multiple waves attack of weapon systems.Based on the new model,a mixed genetic and discrete particle swarm optimization（DPSO） algorithm is proposed to solve the usage mission scheduling.Compared with the discrete particle swarm algorithm and genetic algorithm respectively,the results of simulation experiments prove that the method is more effective and superior.

关 键 词：武器系统与运用工程 装备综合保障 使用任务 任务效能 组合优化 粒子群 

分 类 号：N945.12[自然科学总论—系统科学]