摘要
针对备件费用与备件保障度的平衡问题,提出一种设备备件配置优化模型。采用遗传算法进行求解,在求解过程中,运用自适应的交叉、变异策略,提高算法的精确度,并通过举例验证算法的有效性。
Aiming at balance between cost and support of spare parts, an allocation optimizing model for equipment spare parts is presented. During solution process, GA （genetic algorithm）, adaptive crossover and mutation strategies are used to improve the method precision. Example proved the method is available.
出处
《兵工自动化》
2009年第10期26-28,共3页
Ordnance Industry Automation
关键词
备件
优化
遗传算法
Spare parts
Optimization
GA
