• DocumentCode
    2959403
  • Title

    Distribution maintenance scheduling using ant colony algorithm (ACA)

  • Author

    Yin, Wenjun ; Lv, Hairong ; Jin, Feng ; Dong, Jin ; Shangguan, Liying

  • Author_Institution
    Res. Lab., IBM China, Beijing, China
  • fYear
    2009
  • fDate
    22-24 July 2009
  • Firstpage
    624
  • Lastpage
    628
  • Abstract
    An in-depth investigation is made on the optimization goal most concerned about device maintenance time and additional cost caused by maintenance scheduling. Based on the above, a new model for distribution maintenance scheduling is developed with multipurpose and multiple constraints. In addition, the merits of ant colony algorithm are parallel search and strong optimization capabilities, which was inspired by the observation of the behaviors of ant colonies. This paper uses ant colony algorithm to solve the complication problem. The proposed model and method is applied to a test system and the results verify the validity.
  • Keywords
    maintenance engineering; optimisation; parallel algorithms; power systems; scheduling; search problems; ant colony algorithm; device maintenance time; distribution maintenance scheduling; parallel search algorithm; Accidents; Ant colony optimization; Cost function; Electricity supply industry; Genetic algorithms; Laboratories; Linear programming; Power system stability; Scheduling algorithm; System testing; ant colony algorithm; maintenance scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations, Logistics and Informatics, 2009. SOLI '09. IEEE/INFORMS International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-3540-1
  • Electronic_ISBN
    978-1-4244-3541-8
  • Type

    conf

  • DOI
    10.1109/SOLI.2009.5204009
  • Filename
    5204009