• DocumentCode
    2709118
  • Title

    Automated land reallotment using genetic algorithm

  • Author

    Akkus, Mehmet Akif ; Karagoz, Onder ; Dulger, Ozcan

  • Author_Institution
    Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Land re-allotment is the most intensive part of the land consolidation projects. Land re-allotment consists of some stages that improve wealth of the rural people in the field. Engineering efforts to shape the new view of the project area contains a real hard work of thinking and planning. Wiser designs in re-allotment phase always bring importance for the success of the new rural infrastructure. Land re-allotment problem has not unique solution and also can be seen as an optimization problem. In this study, we use genetic algorithm which is regarded as an optimization method and which can give different possible solutions at a time step. After experiments we achieved 99.7% fullness amount and duration of re-allotment process decreased from weeks to seconds.
  • Keywords
    genetic algorithms; land use planning; automated land reallotment; genetic algorithm; land consolidation projects; optimization method; rural infrastructure; Artificial intelligence; Biological cells; Genetic algorithms; Optimization; Roads; Shape; Soil; genetic algorithm; land consolidation project; land re-allotment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
  • Conference_Location
    Trabzon
  • Print_ISBN
    978-1-4673-1446-6
  • Type

    conf

  • DOI
    10.1109/INISTA.2012.6247018
  • Filename
    6247018