Algorithm based on simulated annealing for land-use allocation

  • Authors:

  • Inés Santé-Riveira;Marcos Boullón-Magán;Rafael Crecente-Maseda;David Miranda-Barrós

  • Affiliations:

  • Land Laboratory, Department of Agricultural and Forestry Engineering, University of Santiago de Compostela, Spain and Escuela Politécnica Superior, Campus Universitario s/n, 27002 Lugo, Spain;Land Laboratory, Department of Agricultural and Forestry Engineering, University of Santiago de Compostela, Spain and Escuela Politécnica Superior, Campus Universitario s/n, 27002 Lugo, Spain;Land Laboratory, Department of Agricultural and Forestry Engineering, University of Santiago de Compostela, Spain and Escuela Politécnica Superior, Campus Universitario s/n, 27002 Lugo, Spain;Land Laboratory, Department of Agricultural and Forestry Engineering, University of Santiago de Compostela, Spain and Escuela Politécnica Superior, Campus Universitario s/n, 27002 Lugo, Spain

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2008

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Abstract

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 Cha 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.