摘要
针对航空公司维修计划编制现状及重要性,分析飞机维修计划编制流程及涉及要素,建立基于维修成本的飞机维修计划编制优化模型,并采用遗传算法对模型进行求解。结果表明,建立的模型和求解算法切实可行,可用于各类型航空公司飞机维修计划的编制和优化,且优化结果满足航空公司实际需求。同时对比分析可知,遗传算法比粒子群算法在求解效果上有优越性。
This paper analyses the process and elements relative to aircraft maintenance plan against the conditions and importance in Chinese airlines. And an optimization model is established on basis of maintenance cost. Then genetic algorithm is introduced and proposed for solving the model. The simulation result verifies that the model and algorithm are feasible. This solution is used to write and optimize aircraft maintenance plan. In fact the optimization result meets demands of airlines better. Meanwhile it makes an analysis that genetic algorithm is better than particle swarm algorithm in the solution.
出处
《机械科学与技术》
CSCD
北大核心
2017年第S1期49-53,共5页
Mechanical Science and Technology for Aerospace Engineering
关键词
遗传算法
粒子群算法
维修成本
飞机维修计划
genetic algorithm
particle swarm algorithm
maintenance cost
maintenance plan
