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
Link To Document :
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