| 基于遗传算法的弹药装备备件优化模型研究 |
| |
| 引用本文： | 潘广泽,;高军,;黄道平,;李小兵.基于遗传算法的弹药装备备件优化模型研究[J].电子产品可靠性与环境试验,2014(4):12-15. |
| |
| 作者姓名： | 潘广泽 ;高军 ;黄道平 ;李小兵 |
| |
| 作者单位： | [1]广州市电子信息产品可靠性与环境工程重点实验室,广东广州510610; [2]工业和信息化部电子第五研究所,广东广州510610; [3]华南理工大学自动化科学与工程学院,广东广州510640; [4]广东省电子信息产品可靠性技术重点实验室,广东广州510610 |
| |
| 摘 要： | 结合当前弹药装备备件优化配置的工程需求,建立了基于遗传算法的备件优化模型。在弹药装备战备完好率和费用的共同约束下,利用遗传算法收敛速度快、全局寻优能力强、编程实现简单等特点,实现了对该模型的求解,得到了弹药装备备件的最优配置。最后,以某弹药装备为案例进行了分析,结果表明,遗传算法能有效地解决弹药装备备件的优化问题。
|
| 关 键 词： | 弹药装备 遗传算法 备件 |
Model of Spare Parts Optimization Based on GA for Missile Equipment |
| |
| Affiliation: | PAN Guang-ze,GAO Jun,HUANG Dao-pin,LI Xiao-bing(1. Guangzhou Key Laboratory of Reliability and Environmental Engineering of Electronic Information Product, Guangzhou 510610, China; 2. CEPREI, Guangzhou 510610, China; 3. School of Automation Science and Engineering, South China University of Teehuology, Guangzhou 510640, China; 4. Guangdong Key Laboratory of Electronic and Information Technology Product Reliability, Guangzhou 510610, China ) |
| |
| Abstract: | From the optimal allocation of spare parts, a model of spare parts optimization was established. With materiel readiness rate constraint and cost constraint, using the characteristics of good convergence speed, strong ability of global optimization and simple programming, the genetic algorithm was used in solving of the model of spare parts optimization.The optimal allocation of initial spares of missile was obtained. The result of analysis of missile indicates that the genetic algorithm have the advantages to solve this issue. |
| |
| Keywords: | missile equipment genetic algorithm spare parts optimization |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
