摘要
主要针对系统的昂贵备件储备量设置进行研究,建立了基于可维修的系统备件储备模型,由于该模型具有多参数、非线性等特点,遗传算法以它多参数、多个体同时优化的特点能够很好地优化该模型。最后给出了一个算例来说明该模型及算法的应用。
The paper studies the reserve plan of system spare parts, establishes a spare parts reserve model based on service, which has such a character as non-linear and multi-parameter. Genetic algorithm can be used to optimize the model with its features as multi-parameter and multi-objective and finally an example is used to illustrate the algorithm.
出处
《物流技术》
2009年第11期134-136,共3页
Logistics Technology
关键词
备件
储备量
模型
多目标优化
spare parts
reserve
model
multi-objective optimization