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A multiple criteria heuristic solution method for locating near to optimal contiguous and compact sites in raster maps

  • Pablo Vanegas
  • , Dirk Cattrysse
  • , Jos Van Orshoven

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations

Abstract

A high performance heuristic solution method is proposed able to locate near to optimal sites composed by a given number of cells (raster structure). These sites must be compact and maximize levels of the sites intrinsic multiple criteria suitability. To validate the heuristic approach, a comparison with a mathematical formulation is performed with afforestation data of regions within the Netherlands, Denmark, and Flanders. This reveals that the heuristic is considerably faster than the mathematical method and the objective values obtained with the two approaches are substantially similar. A sensitivity analysis shows that the region's homogeneity plays an important role in the performance of the process identifying most favourable sites. Moreover, computation time follows a power model in the number of cells forming the site.

Original languageEnglish
Title of host publicationGeocomputation, Sustainability and Environmental Planning
EditorsBeniamino Murgante, Giuseppe Borruso, Alessandra Lapucci
Pages35-56
Number of pages22
DOIs
StatePublished - 2011

Publication series

NameStudies in Computational Intelligence
Volume348
ISSN (Print)1860-949X

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Exact Methods
  • Heuristic
  • Site Location

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