基于混合粒子群算法的软硬武器协同反导决策  

Hard and Soft Weapon Antimissile Coordinated Decision-Making Based on Hybrid Particle Swarm Optimization Algorithm

作　　者：曾松林[1] 王文恽[2] 陈海建[1] 张毅[1] 

机构地区：[1]海军航空工程学院研究生1队,山东烟台264001 [2]海军航空工程学院科研部,山东烟台264001

出　　处：《现代防御技术》2011年第3期31-37,共7页Modern Defence Technology

摘　　要：以单舰使用软硬武器对抗末端飞行的反舰导弹为背景,在对软硬武器抗击反舰导弹存在相互干扰进行分析的基础上,为了最大程度地减小干扰,取得最大的作战效果,建立了单舰协同使用软硬武器分层防御反舰导弹的模型。这是一个多阶段单指标方案优选问题,使用混合粒子群算法进行求解,仿真结果表明:该算法可以找到合理的、满足要求的反导方案,而且计算方便。Taking a single warship with hard and soft weapons against antiship missile as background and analyzing mutual interferences of the soft and hard weapons, a math model of single warship using hard and soft weapon to counterwork antiship missile by dividing counterwork airspace is set up to diminish the interferences to the lowest degree and get the best battle effect. It is an optimal scheme choice problem of multi-stages and one index by using hybrid particle swarm algorithm to calculate the result. Simulation result shows that the algorithm may find a reasonable, required scheme, and its calculation is simple.

关 键 词：软硬武器 协同反导 混合粒子群算法 

分 类 号：E843[军事—战术学] E925[军事—军事装备学]