Evolutionary Modeling of Spatial Information
Evolutionary Modeling of Spatial Information
GIS: A Computing Perspective, 2nd Edition
GIS: A Computing Perspective, 2nd Edition
A genetic algorithm approach to multiobjective land use planning
Computers and Operations Research
Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)
Algorithm based on simulated annealing for land-use allocation
Computers & Geosciences
Quality evaluation of spatial data in raster format
AIASABEBI'11 Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications
Introducing a novel model of belief-desire-intention agent for urban land use planning
Engineering Applications of Artificial Intelligence
A Spatial Decision Support System design for land reallocation: A case study in Turkey
Computers and Electronics in Agriculture
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Multisite Land Use Allocation Problem (MLUA) refers to the problem of allocating more than one land use type in an area. MLUA problem is one of the truly NP Complete (combinatorial optimization) problems. To cope with this type of problems, intelligent techniques such as genetic algorithms, and simulated annealing, have been used. Research in the area of Spatial Decision Support Systems (SDSS) for resource allocation issues, a new scientific area of information system applications developed to support semi-structured or unstructured spatial decisions, has recently generated attention for integrating Artificial Intelligence (AI) techniques with Geographic Information Systems (GIS). In this paper we demonstrate how GIS can be integrated with Gene Expression Programming (GEP), a recently developed AI approach, for solving MLUA problems. The feasibility of the proposed approach in solving MLUA problems was checked using a fictive case study. The results indicated that the proposed approach gives good and satisfactory results.