• DocumentCode
    3236444
  • Title

    The Application of Ant Colony Algorithm on Automatic Testing Path Optimization in Complex Circuits

  • Author

    Liu Xinmei ; Liu Peng ; Yin Junling ; Hou Wen

  • Author_Institution
    Nat. Key Lab. of Electron. Test Technol., North Univ. of China, Taiyuan, China
  • fYear
    2012
  • fDate
    6-8 Nov. 2012
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    With the maturation of a large number of bionic optimization algorithm, based on the analysis of the currently common path optimization algorithm, ant colony optimization algorithm is applied to the problem of path optimization of automatic testing in complex circuit. This paper established the relevant system models, designed the specific implementation scheme, and conducted the simulation and experiment of path optimization on moving probe tests in small circuits and complex circuits. The results show that the ant colony algorithm applied to path optimization is feasible and it is superior to the results of sequence testing on the testing speed and real-time testing ability.
  • Keywords
    ant colony optimisation; automatic testing; circuit testing; electronic engineering computing; ant colony optimization algorithm; automatic testing path optimization; bionic optimization algorithm; complex circuits; implementation scheme; moving probe test; real-time testing ability; sequence testing; small circuit; system model; testing speed; Algorithm design and analysis; Ant colony optimization; Automatic testing; Integrated circuit modeling; Optimization; Probes; Ant colony algorithm; Circuit online testing; Path optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2012 Third Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-3072-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2012.105
  • Filename
    6449490