GIS-based genetic algorithmoptimization tool for supporting land use and land management restructuring

被引：0

作者：

Makarenko, V. ^{[1
]}

Ruecker, G. ^{[2
]}

Sommer, R. ^{[3
]}

Djanibekov, N. ^{[3
]}

Strunz, G. ^{[2
]}

Kolodyazhnyy, O. ^{[1
]}

机构：

[1] NSAU, NASU, SRI, Kiev, Ukraine

[2] German Remote Sensing Data Ctr DFD, German Aerosp Ctr DLR, D-82234 Oberpfaffenhofen, Wessling, Germany

[3] Univ Bonn, Ctr Dev Res ZEF, D-53113 Bonn, Germany

来源：

SPACE SCIENCE AND TECHNOLOGY-KOSMICNA NAUKA I TEHNOLOGIA | 2007年 / 13卷

关键词：

D O I：

10.15407/knit2007.01s.033

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页码：33 / 37

页数：5

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