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基于遗传算法和蒙特卡洛仿真的保障资源优化配置方法 被引量:3

Optimization Method of Support Resources Configuration Program Based on GA and Monte Carlo Simulation
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摘要 保障资源的配置与维修组织的维修能力、人员编制和备件仓库储存空间密切相关,在满足约束条件的前提下如何合理地进行资源配置是完成装备可用度指标和降低保障费用的关键。针对该问题,在两级保障机构的背景下,对部件寿命和维修时间服从任意分布的复杂装备系统进行研究,采用遗传算法和蒙特卡洛仿真相结合的方法,建立了以保障费用为优化目标,使用可用度、仓库库存容量、维修人员编制等多约束条件下的保障资源配置优化模型。最后结合算例,对模型的适用性和方法的可行性进行了验证。 The configuration program of support resources is closely related to the maintenance capability of maintenance organizations,staff limits and the reserve space of storehouses. How to deploy resources legitimately under the multi-constraints targets is the key to reach the equipment availability index as well as reduce life cycle cost( LCC). In order to solve this problem,in the context of two levels support organization,the complicated equipments is selected in which the components' life and repair time is subject to different life distributions as research objects,under the multi-targets constraint,such as equipment availability,storehouse volume and maintenance stuff limits,optimization method of resources configuration is established based on genetic algorithm( GA) and Monte Carlo simulation for the optimization goal of LCC. With the given example,the calculation results and the optimization process is analyzed to validate the applicability of the model and the effectiveness of the method.
作者 宿勇
机构地区 海军装备部
出处 《指挥控制与仿真》 2015年第5期99-103,共5页 Command Control & Simulation
基金 总装预研基金(51304010206) 总装预研基金(51327020105)
关键词 遗传算法 蒙特卡洛仿真 保障资源 多约束 配置优化 genetic algorithm Monte Carlo simulation support resources multi-constraints configuration optimization
分类号 E917 [军事]
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参考文献8

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