• DocumentCode
    1992586
  • Title

    A Method of Aerospace Test Task Scheduling Based on Genetic Algorithm

  • Author

    Tong, Jiang ; Cai, Yuanwen

  • Author_Institution
    Co. of Postgrad. Manage., Acad. of Equip., Beijing, China
  • fYear
    2012
  • fDate
    27-30 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the development of test technology, the kinds of test resources continuously abundant, while the increased flexibility of a test system provides a greater number of choices of resources and routings. So, test task scheduling optimization will be the key point to construct the aerospace test system. This paper put forward the method of aerospace test task scheduling based on improved genetic algorithm. The typical aerospace test tasks and signals were analyzed; Describing the test requirements and instrument ability based on signal-oriented method; A kind of improved genetic algorithm was put forward, and the optimization matching of test resources was realized, the validity of this algorithm was proved through the simulation and experiment of an example. Comparing the algorithm with the polychromatic ant colony algorithm, the advantage of the algorithm was displayed.
  • Keywords
    aerospace testing; genetic algorithms; aerospace test signals; aerospace test task scheduling optimization; improved genetic algorithm; polychromatic ant colony algorithm; signal-oriented method; test resource optimization matching; Aerospace testing; Genetic algorithms; Instruments; Optimization; Scheduling; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Technology (S-CET), 2012 Spring Congress on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4577-1965-3
  • Type

    conf

  • DOI
    10.1109/SCET.2012.6342130
  • Filename
    6342130