混合遗传算法的战时舰艇伴随保障人员优化配置
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摘要
遂行一次作战任务的伴随保障人员总数往往是有限的,针对各舰艇进行人员科学配置,对于缩短战时累计修复时间、提升维修效率意义重大。建立了战时舰艇伴随保障人员优化配置模型,分析了与之相关的因素和限制条件,运用混合遗传算法求解人员配置方案,实现战时舰艇编队累计修复时间之和的最小化,通过数值仿真实验验证了模型及算法的可行性、客观性和高效性,有效缩短了总修复时间。
The total number of staff to carry out a security with the combat mission is often limited.It is of great significance to shorten the total repair time and enhance the efficiency of the maintenance of naval ships by scientific deployment of personnel. In this paper,a model of optimal allocation of naval ship support personnel is established,and the related factors and restrictions are analyzed. It uses hybrid genetic algorithm to solve the crew configuration scheme,and realizes the minimization of the time of cumulative repair time of ship formation in wartime. The feasibility,objectivity and efficiency of the model and algorithm are verified by numerical simulation,and the total repair time is effectively shortened. It is great significance to improve the support capability of the wartime ship.
The total number of staff to carry out a security with the combat mission is often limited.It is of great significance to shorten the total repair time and enhance the efficiency of the maintenance of naval ships by scientific deployment of personnel. In this paper,a model of optimal allocation of naval ship support personnel is established,and the related factors and restrictions are analyzed. It uses hybrid genetic algorithm to solve the crew configuration scheme,and realizes the minimization of the time of cumulative repair time of ship formation in wartime. The feasibility,objectivity and efficiency of the model and algorithm are verified by numerical simulation,and the total repair time is effectively shortened. It is great significance to improve the support capability of the wartime ship.
引文
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[9]韩朝帅,王坤,潘恩超,等.基于任务需求的装备维修人员配置优化[J].兵工自动化,2016,35(8):83-86.
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[12]牟锦辉,苏三买.约束优化问题的混合遗传算法研究[J].计算机仿真,2009,26(8):184-187.
[2]王雷,张守玉,齐园园.数字化部队战时装备维修人员配置优化[J].四川兵工学报,2012,33(9):54-56+60.
[3]高崎.炮兵武器系统维修保障及其决策方法研究[D].南京:南京理工大学,2006.
[4]许国银,熊筱和.美军战时装备保障探析[J].地面防空武器,2014,44(12):49-53.
[5]王柏根,汪勋,张子臻.遗传算法在电力维护人员调度问题中的应用[J].现代计算机(专业版),2015,32(12):3-8.
[6]李响,王庆.基于混合遗传算法的农机科研人员任务调度优化研究[J].中国农机化,2008,59(1):49-52.
[7]刘伟,由大德,钟志通.舰载武器作战使用条件仿真量化分析[J].火力与指挥控制,2017,43(3):109-111.
[8]吴晓辉.战时维修人员配置优化研究[J].价值工程,2012,31(4):283-284.
[9]韩朝帅,王坤,潘恩超,等.基于任务需求的装备维修人员配置优化[J].兵工自动化,2016,35(8):83-86.
[10]曹峰.机步团装备维修备件和人员优化配置研究[D].长沙:国防科学技术大学,2009.
[11]赵师,屈洋.基于Delphi-BP神经网络的装备保障能力评估[J].火力与指挥控制,2017,42(2):130-133.
[12]牟锦辉,苏三买.约束优化问题的混合遗传算法研究[J].计算机仿真,2009,26(8):184-187.