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基于粒子群算法的导弹初始备件优化配置
引用本文:宋贵宝,马广婷,刘学君,刘宗杰. 基于粒子群算法的导弹初始备件优化配置[J]. 舰船电子工程, 2012, 32(9): 118-120
作者姓名:宋贵宝  马广婷  刘学君  刘宗杰
作者单位:1. 海军航空工程学院飞行器工程系,烟台,264001
2. 海军航空工程学院研究生管理大队,烟台,264001
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。

关 键 词:初始备件  优化  粒子群算法

Optimal Allocation of Initial Spares of Missile Based on Particle Swarnl Optimization Algorithm
SONG Guibao,MA Guangting,LIU Xuejun,LIU Zongjie. Optimal Allocation of Initial Spares of Missile Based on Particle Swarnl Optimization Algorithm[J]. Ship Electronic Engineering, 2012, 32(9): 118-120
Authors:SONG Guibao  MA Guangting  LIU Xuejun  LIU Zongjie
Affiliation:1.Department of Airbome Vehicle Engineering,NAAU,Yantai 264001)(2.Graduate Students’Brigade,NAAU,Yantai 264001)
Abstract:From the optimal allocation of spare parts,model of Spare Parts Optimization was established by cost constraint and meteriel readiness rate constraint.Using the characteristics of good convergence speed,strong ability of global optimization and simple programming,the particle swarnl optimization algorithm was used in solving of the model of spare parts optimization,optimal allocation of initial spares of missile was obtained.The result of analysis of cases indicates that particle swarnl optimization algorithm have the advantages to slove this issue.
Keywords:initial spares  optimal  particle swarnl optimization
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