文章基本信息

标题：Study to Cost of Air Spares Support Based on IPSO
本地全文：下载
作者：Xiaohua Wang ; Aiqin Mu ; Fuhong Wang 等
期刊名称：Journal of Transportation Technologies
印刷版ISSN：2160-0473
电子版ISSN：2160-0481
出版年度：2012
卷号：2
期号：1
页码：75-77
DOI：10.4236/jtts.2012.21009
出版社：Scientific Research Publishing
摘要：Air spares support is general term of using and repairing of aircrafts which is the material foundation of aero technical support, its effectiveness influences operational effectiveness and equipments of aircrafts directly. Based on particle swarm optimization algorithm, a new model is proposed to optimize the distribution of the cost of air spares, it take the funds as resource and the improvement of performance efficiency as objective and deduces the expressions to get the best distribution plan. The results of experiments indicate that this model can make full use of the limited funds and obtain the highest efficiency of air spares support.
关键词：Air Spares Support; Fund; Particle Swarm Optimization