RT Journal Article
T1 Algorithm based on simulated annealing for land use allocation
A1 Santé Riveira, Inés
A1 Boullón Magán, Marcos
A1 Crecente Maseda, Rafael
A1 Miranda Barrós, David
K1 Multicriterion land allocation
K1 Land uses
K1 MOLA
K1 Hierarchical optimization
K1 Ideal point analysis
AB This article describes the use of simulated annealing for allocation of land units to a set of possible uses on, the basis of their suitability for those uses, and the compactness of the total areas allotted to the same use or kind of use, which are fixed a priori. The results obtained for the Terra Chá district of Galicia (N.W. Spain) using different objective weighting schemes are compared with each other and with those obtained for this district under the same area constraints, using hierarchical optimization, ideal point analysis, and multi-objective land allocation (MOLA) to maximize average use suitability. Inclusion of compactness in the simulated annealing objective function avoids the highly disperse allocations typical of optimizations that ignore this sub-objective
PB Elsevier
SN 0098-3004
YR 2007
FD 2007-09-02
LK http://hdl.handle.net/10347/20276
UL http://hdl.handle.net/10347/20276
LA eng
NO Inés Santé-Riveira, Marcos Boullón-Magán, Rafael Crecente-Maseda and David Miranda-Barrós, Algorithm based on simulated annealing for land use allocation, Computers & Geosciences (2007), doi:10.1016/j.cageo.2007.03.014
DS Minerva
RD 1 may 2026