• DocumentCode
    1757489
  • Title

    Extracting Urban Occupational Plans Using Cultural Algorithms [Application Notes]

  • Author

    Jayyousi, Thaer W. ; Reynolds, Robert G.

  • Author_Institution
    Comput. Sci. Dept., Wayne State Univ., Detroit, MI, USA
  • Volume
    9
  • Issue
    3
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    66
  • Lastpage
    87
  • Abstract
    Cultural Algorithms can be used to evolve structural functional models of urban centers. The population of the Cultural Algorithm is a set of urban planning agents, each of whom competes to build up a high level model of the site from a set of building blocks. These building blocks are produced through the use of techniques from Data Mining and Complex Systems. The best model is compared with existing models of modern cities in order to identify the similarities and differences between ancient and modern cities. The resultant comparison suggests that early Monte Albán exhibited a sector-based model that is characteristic of some modern cities. In addition, the plan generated by the Cultural Algorithm is able to add insight into the plan generated by a site expert. This suggests that such an approach can be generalized to other urban sites and foster a new understanding of the urbanization process.
  • Keywords
    cultural aspects; data mining; town and country planning; complex systems; cultural algorithms; data mining techniques; sector-based model; structural functional models; urban centers; urban occupational plan extraction; urban planning agents; urbanization process; Biological system modeling; Computational modeling; Cultural differences; Social factors; Sociology; Statistics; Urban areas;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2014.2326103
  • Filename
    6853436