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基于粒子群优化算法的飞机维修计划编制优化
引用本文:孙春林,崔珂,李耀华. 基于粒子群优化算法的飞机维修计划编制优化[J]. 中国民航学院学报, 2007, 25(1): 29-31,54
作者姓名:孙春林  崔珂  李耀华
作者单位:中国民航大学机电工程学院 天津300300
摘    要:针对国内航空公司的维修生产管理,分析了维修计划的编制流程,建立了相应的整数规划数学模型,该模型采用维修停场损失、维修加班费用和维修外包费用的和作为目标函数,可用于混合机型机队的定检维修计划的制定。同时分析研究了粒子群优化算法,并采用该算法对模型进行求解。数据仿真结果表明,建立的模型和求解算法切实可行。

关 键 词:整数规划  粒子群优化算法  飞机维修计划
文章编号:1001-5000(2007)01-0029-03
修稿时间:2006-08-242006-11-01

Optimum Study on Aircraft Maintenance Plan Based on Particle Swarm Optimization Algorithm
SUN Chun-lin,CUI Ke,LI Yao-hua. Optimum Study on Aircraft Maintenance Plan Based on Particle Swarm Optimization Algorithm[J]. Journal of Civil Aviation University of China, 2007, 25(1): 29-31,54
Authors:SUN Chun-lin  CUI Ke  LI Yao-hua
Abstract:On the basis of analyzing aircraft maintenance planning process about production management in Chinese airlines,the paper presents an integer programming model for aircraft maintenance plan optimization.The model's object function is the sum of airplane ground lost,maintenance overworking cost and the cost of maintenance farmed out.And the model can be used to make maintenance plan of the heterogeneous fleet of aircraft.At the same time,particle swarm optimization(PSO) algorithm is introduced and proposed for solving the model.The simulation result shows that the model and algorithm are practicable.
Keywords:integer program  PSO  aircraft maintenance plan
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