基于粒子群优化的灰色系统对一体化保障设备使用工作量的预测  

Algorithm Based on PSO's Grey System Forecasting the Workload of the Integrated Support Equipment

作　　者：单志伟[1] 钱潜[1] 刘福胜[1] 

机构地区：[1]装甲兵工程学院技术保障工程系,北京100072

出　　处：《四川兵工学报》2015年第10期55-58,共4页Journal of Sichuan Ordnance

基　　金：军队科研计划项目

摘　　要：针对一体化保障设备数量的配置规划过程中保障设备使用工作量的预测问题,根据一体化保障系统与灰色系统的相似性,结合粒子群优化算法的特点,提出了基于粒子群优化的灰色系统预测保障设备使用工作量的算法;该算法的基础是一体化保障设备年度使用工作量的时间序列,通过对时间序列的一系列数学处理得出预测结果;通过该算法提高了一体化保障设备使用工作量的预测精度,增强了一体化保障设备数量规划的科学性,为整个一体化保障系统的建设积累了经验。In the light of the similarity between the supporting system and the grey system, this article pro- posed an algorithm based on PSO＇ s grey system in forecasting the workload of the support equipment in or- der to solve the problem of projecting the workload of the integrated support equipment during the process of configuring and planning the numbers of the equipment. The basis of the algorithm was the time series of the workload and the projection was made possible by the mathematically processed time series. This algo- rithm improves the prediction accuracy of the workload of the integrated support system and promises a more scientific number planning of support equipment, which accumulates experience for the construction of integrated support system.

关 键 词：一体化保障 灰色系统 粒子群算法 

分 类 号：E92[军事—军事装备学]