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中文摘要：
目前航空公司对航空备件的需求计算主要针对单个备件进行,这产生一定的误差。因此,本文利用NSGA-II多目标遗传优化算法来解决在一定成本约束条件下可用度、可靠度等性能指标均能得到满足。为了便于算法的应用,论文对罚函数进行了改进并进行实例分析。结果表明本方法适于处理航空公司复杂的备件需求决策,并起到一定的作用。
英文摘要：
The demand calculation of the aero-spares is around about a single part in the airlines,this will cause some errors.Therefore,this paper uses NSGA-II multi-objective genetic algorithm to solve under certain cost constraints availability,reliability and other performance indicators can be met.In order to facilitate application of the algorithms,the penalty function has been improved and analyzed by an example.The results show that this method is suitable for handling the complexity of the spare parts needs of airline decision-making,and playing a role.
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