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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
  • 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
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