摘要
针对民机维修任务人员优化配置进行研究,综合考虑维修任务的维修成本以及时间成本,分析时间权重对维修成本以及维修人员配置的影响,构建维修人员类别以及数量配置的数学模型。采用基于镜像二进制编码的自适应遗传算法求解相应的维修人员优化配置结果,选择算子采用精英选择与轮盘赌方式,交叉算子与变异算子采用自适应交叉率与变异率,提高算法演算速率与准确度。通过实例分析,得出维修人员配置模型可以优化维修成本,为民机维修工程分析的人员配置提供理论参考。
The paper focuses on human resources optimization allocation for civil aircraft maintenance tasks, con- siders the maintenance cost as well as time cost of the maintenance tasks, analyzes the impact of maintenance time on maintenance costs and maintenance manpower, and builds the mathematical model of maintenance manpower configu- ration. The mirror binary coded adaptive genetic algorithm was applied to resolve the optimal configuration of mainte- nance manpower. For the selection operator, we used elite selection and roulette way, and for the crossover operator and mutation operator, we adopted adaptive crossover rate and mutation rate, in order to improving algorithmic com- putation rate and accuracy. Through the example analysis, the configuration model can optimize the maintenance cost and provide a theoretical reference for the civil aircraft maintenance engineering analysis.
作者
贾宝惠
戴群
王玉鑫
李耀华
JIA Bao-hui;DAI Qun;WANG Yu-xin;LI Yao-hua(Aeronautical Engineering College,Civil Aviation University of China,Tianjin 300300,Chin)
出处
《计算机仿真》
北大核心
2018年第7期32-36,共5页
Computer Simulation
基金
中国民航局科技引领重大专项(MHRD20160105)
工信部民飞专项(MJZ-2014-Y-61)
中央高校中国民航大学重大预研项目(3122014P002)
航空科学基金(20150267001)
关键词
维修保障
优化配置
自适应遗传算法
自适应交叉率
自适应变异率
Maintenance support
Optimized allocation
Adaptive genetic algorithm
Adaptive crossover rate
Adap- tive mutation rate
