Title :
The Application of Ant Colony Algorithm in Land Use
Author :
Hu Lizhe ; Fu Meichen ; Zhang Dingxuan ; Zhang Chengchun
Author_Institution :
Sch. of Land Sci. & Technol., China Univ. of Geosci. (Beijing), Beijing, China
Abstract :
This article introduced ant colony optimization into land use planning taking Hangu Management District of Tangshan as study area. Establishing land use structure optimization model based on land use change data, and then designing algorithm to run the model. after comparing the optimized land use program with current land use planning, we find the conclusion that the ant colony optimization program is more scientific and reasonable used in the land use structure optimization.
Keywords :
ant colony optimisation; land use planning; Hangu management district; Tangshan; ant colony optimization; land use change data; land use planning; land use structure optimization model; Biological system modeling; Linear programming; Mathematical model; Optimization; Planning; Sociology; Statistics; ant colony optimization; land use; land use planning; optimization model;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.281
