GIS-based genetic algorithm optimization tool for supporting land use and land management restructuring
|1Makarenko, V, 2Ruecker, G, 3Sommer, R, 3Djanibekov, N, 2Strunz, G, 1Kolodyazhnyy, O |
1Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine, Kyiv, Ukraine
2German Aerospace Centre (DLR), German Remote Sensing Data Center (DFD), Germany
3Center for Development Research (ZEF), University of Bonn, Bonn, Germany
|Kosm. nauka tehnol. 2007, 13 ;(Supplement1):033-037|
|Publication Language: English|
For assisting agricultural planners in generating optimized land use and management allocation maps, the "Genetic Algorithms for Land use and Land management Optimization" (GALLOP) tool was developed. The tool integrates multiobjective genetic algorithms, a geographic information system (GIS) and a database management system within the ArcGIS framework. The tool was applied to a case-study farm in Khorezm, a region in the west part of Uzbekistan. The results show that the combined optimization of multiple objectives is as a win-win strategy that achieved the best compromise between ecological and economic objectives. The GALLOP tool represents an innovative, fast and spatial planning tool for solving complex resource management optimization problems.
|Keywords: case-study, genetic algorithms, geographic information system|
8. Stewart T. J., Janssen R., van Herwijnen M. A genetic algorithm approach to multiobjective land use planning. Computer and operations Res., 31, 2293—2313 (2004).