• DocumentCode
    527305
  • Title

    Intelligent electoral districting mechanism

  • Author

    Hor, Maw-Kae

  • Author_Institution
    Dept. of Comput. Sci., Nat. Cheng-Chi Univ., Taipei, Taiwan
  • Volume
    5
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2625
  • Lastpage
    2630
  • Abstract
    Traditionally, electoral districting was done manually which generally requires huge human resources and may introduce controversies. In this paper, we present an intelligent electoral districting mechanism that partitions the administrative districts systematically through the help of geographical information system and the techniques of artificial intelligence and computational geometry. The mechanism can generate a large amount of feasible solutions that satisfy various districting requirements. One can make better decisions by choosing a good solution provided through this mechanism. We choose a local city to illustrate our method. The experimental results show that we can produce hundred thousands of feasible solutions successfully. As we tighten the constraints, thousands of the feasible solutions still passed the screening tests depend on the requirements. Further studies show that the election outcome varies if different districting methods were chosen.
  • Keywords
    artificial intelligence; computational geometry; geographic information systems; artificial intelligence; computational geometry; geographical information system; intelligent electoral districting mechanism; Cities and towns; Cybernetics; Data preprocessing; Machine learning; Nominations and elections; Partitioning algorithms; Shape; Artificial intelligence; computational geometry; electoral districting; geographical information system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580893
  • Filename
    5580893