指挥控制与仿真Issue(5)：99-103,5.DOI:10.3969/j.issn.1673-3819.2015.05.021
基于遗传算法和蒙特卡洛仿真的保障资源优化配置方法∗
Optimization Method of Support Resources Configuration P rogram Based on GA and Monte Carlo Simulation
摘要
Abstract
The configuration program of support resources is closely related to the maintenance capability of maintenance or⁃ganizations, 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 e⁃quipment availability, storehouse volume and maintenance stuff limits, optimization method of resources configuration is es⁃tablished based on genetic algorithm( GA) and Monte Carlo simulation for the optimization goal of LCC. With the given ex⁃ample, the calculation results and the optimization process is analyzed to validate the applicability of the model and the effec⁃tiveness of the method.关键词
遗传算法/蒙特卡洛仿真/保障资源/多约束/配置优化Key words
genetic algorithm/Monte Carlo simulation/support resources/multi-constraints/configuration optimization分类
军事科技引用本文复制引用
宿勇..基于遗传算法和蒙特卡洛仿真的保障资源优化配置方法∗[J].指挥控制与仿真,2015,(5):99-103,5.基金项目
总装预研基金（51304010206）；总装预研基金 （）
