DocumentCode :
3170467
Title :
Classification over Geographical Zones: A Combinatorial Optimization Approach to the Regional Partitioning Problem
Author :
Bernabe L, M.B. ; Duque C, J.C. ; Ramirez R, J. ; Osorio L, M.A.
Author_Institution :
Benemerita Univ. Autonoma de Puebla, Puebla
fYear :
2008
fDate :
3-5 March 2008
Firstpage :
70
Lastpage :
74
Abstract :
The regional partitioning problem consists in determining an aggregation of geographical areas into a predefined number of homogeneous and spatially continuous regions. A common difficulty that stems from this problem is the multiple comparisons required by the chosen classification process, which makes it a combinatorial problem. In this sense, the application of heuristic methods becomes necessary to solve it. This work presents the implementation of a method of simulated annealing that minimizes the distances from the objects to the nearest centroid, within the PAM classification method (Kaufman and Rousseeuw, 1987) as applied to the geographical units of the Metropolitan Zone of Mexico´s Valley.
Keywords :
combinatorial mathematics; geographic information systems; simulated annealing; combinatorial optimization approach; geographical zones; heuristic methods; regional partitioning problem; simulated annealing method; Computational complexity; Computational modeling; Electronic mail; Geography; Laboratories; Optimization methods; Partitioning algorithms; Simulated annealing; Stress; Urban planning; aggregation; classification; simulated;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Computers, 2008. CONIELECOMP 2008, 18th International Conference on
Conference_Location :
Puebla
Print_ISBN :
978-0-7695-3120-5
Type :
conf
DOI :
10.1109/CONIELECOMP.2008.41
Filename :
4470513
Link To Document :
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