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基于改进遗传算法的飞机定检人员均衡配置
引用本文:马登武,张勇亮,董大为,阎桂林. 基于改进遗传算法的飞机定检人员均衡配置[J]. 计算机工程与设计, 2012, 33(5): 2007-2012
作者姓名:马登武  张勇亮  董大为  阎桂林
作者单位:1. 海军航空工程学院兵器科学与技术系,山东烟台,264001
2. 海军航空工程学院研究生管理大队,山东烟台,264001
3. 92154部队,山东烟台,264001
摘    要:将遗传算法应用于解决飞机定检人员均衡配置问题中.根据均方差指标建立了人员均衡配王模型;采用候选集合策略处理约束条件,保证每个个体都对应有可行解;采用最优保存策略和基于预选择的小生境实现方法对基本遗传算法进行改进,并使用其求解模型.仿真实例结果表明,改进遗传算法克服了基本遗传算法客易“早熟”的不足,均衡配置后人员工作时间均方差减少65.90%.

关 键 词:遗传算法  飞机定检  人员均衡配置模型  候选集合  最优保存  小生境

People's balance distribution in plane's periodic maintenance based on improved genetic algorithms
MA Deng-wu , ZHANG Yong-liang , DONG Da-wei , YAN Gui-lin. People's balance distribution in plane's periodic maintenance based on improved genetic algorithms[J]. Computer Engineering and Design, 2012, 33(5): 2007-2012
Authors:MA Deng-wu    ZHANG Yong-liang    DONG Da-wei    YAN Gui-lin
Affiliation:1.Department of Armament Science and Technology,Naval Aeronautical and Astronautical University, Yantai 264001,China;2.Graduate Students’ Brigade,Naval Aeronautical and Astronautical University,Yantai 264001,China;3.PLA Unit of 92154,Yantai 264001,China)
Abstract:Genetic algorithm(GA) is firstly used to solve the problem of people’s balance distribution in plane’s periodic maintenance.Firstly,the people balanced distribution model is built according the mean square deviation target.Secondly,the strategy of candidate set is used to deal with the restrictions to ensure that one individual to one workable solution.Finally,the GA is improved by the elitist preserved strategy and niche based advanced selection.The simulation results demonstrate that,the improved GA solve the deficiency of being easy to "precocity" of the simple GA,after the balanced distribution the mean square deviation is smaller 65.90% than before.
Keywords:GA  plane’s periodic maintenance  model of people’s balance distribution  candidate set  elitist preserved  niche
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