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
Link To Document