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This paper describes the linkage of a geographic information system (GIS) with the generation of alternatives for siting facilities using genetic algorithms (GAs). The proposed methodology can be described as a random search process through a discrete space, whose points have values determined by their suitability. The search space is a representation of a territory whose characteristics are stored by means of a GIS. GENET is an automatic method to generate alternatives for facilities siting linked with a GIS. In this way, the necessary information is provided by the system in the most convenient format and the same system tools are used for storing and displaying the results for further analysis. The paper describes the implementation of the system and reports the results of tests made using simulated facilities siting problems.

Additional information

Authors: GUIMARAES PEREIRA A, New University of Lisbon, Monte da Caparica (PT);ANTUNES M P, New University of Lisbon, Monte da Caparica (PT);PECKHAM R J, JRC Ispra (IT)
Bibliographic Reference: Paper presented: EGIS '93, Genoa (IT), March 29 - April 1, 1993
Availability: Available from (1) as Paper EN 37402 ORA
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