• DocumentCode
    2940883
  • Title

    A Study on TODO Task Management at Home

  • Author

    Ajikata, Sayaka ; Kobayashi, Ichiro

  • Author_Institution
    Kobayashi-Lab., Ochanomizu Univ., Tokyo, Japan
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    In the small community like a family, there exist several TODO tasks to be performed cooperatively by the members for making the community life easier. The TODO tasks have to be performed by someone in the community, therefore, it is preferable that the tasks should be done by the members without a big burden. In this context, we focus on TODO task management in a family, and propose a method to make a schedule in which the family members cooperate each other to achieve TODO tasks by taking account of multiple constraints, e.g., members´ expert ability, schedules, etc. To make such a schedule, we use multi-objective genetic algorithm.
  • Keywords
    genetic algorithms; home computing; scheduling; task analysis; TODO task management; multiobjective genetic algorithm; Pattern recognition; TODO task assignment; family; multi-objective genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.75
  • Filename
    5370992