摘要
从备件的优化配置出发,建立了在费用和装备完好率共同约束下的备件优化模型。利用收敛速度快、全局寻优能力强、编程实现简单的特点,粒子群算法应用于该模型的求解,得到导弹初始备件的最优配置。案例分析结果表明了粒子群算法解决该问题的有效性。
From the optimal allocation of spare parts, model of Spare Parts Optimization was established by cost constraint and meterielreadiness rate constraint, Using the characteristics of good convergence speed, strong ability of global optimization and simple programming, the particle swami optimization algorithm was used in solving of the model of spare parts optimization, optimal allocation of initial spares ofmissile was obtained. The result of analysis of cases indicates that particle swarnl optimization algorithm have the advantages to slove this issue.
出处
《舰船电子工程》
2012年第9期118-120,共3页
Ship Electronic Engineering
关键词
初始备件
优化
粒子群算法
initial spares
optimal
particle swarnl optimization
