基于遗传算法的导弹编队攻击任务优化分配策略  

Strategy of Task Optimization Allocation for Missile Group-attack Based on Genetic Algorithm

作　　者：白军[1] 刘新学[1] 郭峰[2] 高娟[1] 

机构地区：[1]第二炮兵工程学院603教研室 [2]71602部队

出　　处：《四川兵工学报》2011年第10期51-53,57,共4页Journal of Sichuan Ordnance

摘　　要：导弹编队攻击目标时,在确定打击目标和需求导弹数量后,如何把发射任务科学合理、高效地分配给相应的发射器,完成对目标的打击,在控制自身火力消耗最小的情况下实现作战效能最大是一个组合优化问题。针对导弹编队攻击任务分配问题,提出了基于遗传算法的优化分配策略。在理论上为常规导弹编队攻击目标时任务分配提供策略支持,对提高导弹部队任务分配决策能力和作战效能具有实际意义。While missile group-assault target after determining the attack target and the number of needed missile,how to allocate the launch task to launcher in scientific,reasonable and efficient pattern so as to complete the attack for target is a combination optimization problem that makes operation effect be maximum under the condition of minimum in controlling itself force consumption.Aimed at the puzzle of task allocation in missile group-assault,the paper proposed the optimization strategy based on genetic algorithm.It can theoretically provide the strategy support for task allocation while missile group-assault target,and it is of actual significance to improve the efficiency of decision making and missile launching.for conventional missile troops.

关 键 词：导弹编队攻击 遗传算法 任务分配 优化模型 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]