基于重要度评估和IMPGA的航空保障装备型谱规划  

Aviation support equipment portfolio scheduling based on importance assessment and IMPGA

作　　者：王坚浩 张亮[1] 史超[1] 车飞 WANG Jianhao;ZHANG Liang;SHI Chao;CHE Fei(College of Equipment Management and Unmanned Aerial Vehicles Engineering, Air Force Engineering University,Xi’an 710051,China)

机构地区：[1]空军工程大学装备管理与无人机工程学院,陕西西安710051

出　　处：《系统工程与电子技术》2018年第11期2498-2504,共7页Systems Engineering and Electronics

基　　金：国家自然科学基金(61503409)资助课题

摘　　要：针对目前航空保障装备通用化和系列化程度低等问题,提出了基于重要度评估和改进多种群遗传算法(improved multi-population genetic algorithm,IMPGA)的型谱规划方法。该方法将专家知识体系和群体智能体系相融合,首先建立航空保障装备型谱重要度评估指标体系,然后采用结合熵权和灰色群组聚类的组合赋权模型,并将综合评估值视为型谱优先级排序实现型谱规划初步筛选,最后基于IMPGA将型谱重要度综合评估值与优化费用之比作为适应度进行各项遗传操作,在多次迭代中实现重要度综合评估值高和费用可控的型谱优化方案求解。通过型谱规划实例验证了该方法的有效性。To solve the low degree of generalization and serialization problem of aviation support equipment,a portfolio scheduling method based on importance assessment and the improved multi-population genetic algorithm(IMPGA)is proposed.This method combines the expert knowledge system and swarm intelligence system,exerting their respective advantages.Firstly,the portfolio importance assessment index of aviation support equipment is established.Then the index weight model based on entropy weight and grey cluster is constructed,meanwhile the comprehensive assessment value is regarded as priority sorting of portfolio to realize preliminary screening of portfolio scheduling.Finally,highly portfolio importance assessment and controllable cost scheme selection are carried out in many times of iteration based on IMPGA,with the ratio of portfolio importance comprehensive assessment value to optimization cost as its fitness.The portfolio scheduling example validates the effectiveness of the proposed method.

关 键 词：航空保障装备 重要度评估 熵权 灰色聚类 改进多种群遗传算法 型谱规划 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]