摘要
运用改进的Barlow可靠性理论对车辆周转器材库存储备量进行优化研究,并采用粒子群优化(particle swarm optimization,PSO)算法对建立的车辆周转器材库存储备量模型进行求解,最终得出满足系统保障度约束条件的周转器材储备量,并使库存费用最优。
This paper studies the storage of the vehicle turnover equipment stock based on the improved Barlow reliability method, and solves the established vehicle turnover equipment stock model using the algorithm of particle swarm optimization (PSO), resulting in the turnover equipment storage satisfying restrict of system reliability and optimizes the stock cost.
出处
《装备指挥技术学院学报》
2009年第1期118-121,共4页
Journal of the Academy of Equipment Command & Technology
关键词
Barlow可靠性模型
周转器材
保障度
粒子群优化算法
the Barlow reliability model
turnover equipment
reliability
algorithm of particle swarm optimization (PSO)