基于遗传算法的地空导弹装备备件优化模型  

Model of Spare Parts Optimization Based on GA for Surface-to-Air Missile Equipment

作　　者：周林[1] 娄寿春[1] 赵杰[1] 

机构地区：[1]空军工程大学导弹学院,三原713800

出　　处：《系统工程与电子技术》2001年第2期31-33,共3页Systems Engineering and Electronics

基　　金：空军装备部重点科研资助课题

摘　　要：对影响战备可靠度的各种因素进行分析 ,指出备件优化是提高地空导弹武器装备战备可靠度的唯一有效途径 ;根据地空导弹武器系统的组成和工作特点 ,建立了战备可靠度和备件优化模型 ;依据遗传算法的特点 ,提出了将遗传算法用于求解备件优化问题的方法 ,并给出了求解过程 ,从而有效地解决了备件优化这一复杂而困难的问题 。The factors affecting combat-prepare trustiness are analyzed in this paper. Spare parts optimization is the only pathway to raise surface-to-air missile weapon equipment. According to the composition and operation feature of surface to air missile weapon system, the models of combat-prepare trustiness and spare parts optimization are established. The method for solution spare parts optimization is proposed, which is based on the feature of GA(genetic algorithms). The process of solution is given, which can resolve the complicate and difficult problem of spare parts optimization. The method can insure the high combat-prepare trustiness of surface-to-air weapon system.

关 键 词：地空导弹 遗传算法 武器装备管理 备件 优化模型 

分 类 号：TJ762.11[兵器科学与技术—武器系统与运用工程]