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Using an Evolutionary Algorithm in Multiobjective Geographic Analysis for Land Use Allocation and Decision Supporting

Masoumi, Zohreh; Maleki, Jamshid; Mesgari, Mohammad Sadi and Mansourian, Ali LU (2016) In Geographical Analysis
Abstract

Usually, allocation of resources is an optimization problem which involves a variety of conflicting economic, social, and ecological objectives. In such a process, advanced geographic analyst tool for manipulation of spatial data and satisfaction of multiple objectives is essential to the success of decision-making. The present research intends to demonstrate the application of a multiobjective optimization method based on NSGA-II (we call it HNSGA-II), along with Geographical Information System (GIS) to select suitable sites for the establishment of large industrial units. Having defined the elements of HNSGA-II for the site selection of industrial units, the method is tested on the data of Zanjan province, Iran, as the case study. The... (More)

Usually, allocation of resources is an optimization problem which involves a variety of conflicting economic, social, and ecological objectives. In such a process, advanced geographic analyst tool for manipulation of spatial data and satisfaction of multiple objectives is essential to the success of decision-making. The present research intends to demonstrate the application of a multiobjective optimization method based on NSGA-II (we call it HNSGA-II), along with Geographical Information System (GIS) to select suitable sites for the establishment of large industrial units. Having defined the elements of HNSGA-II for the site selection of industrial units, the method is tested on the data of Zanjan province, Iran, as the case study. The results showed that the proposed approach can easily find a variety of optimized solutions, giving the decision-makers the possibility to opt for the most propitious solution. Using this method, the achievement level regarding each objective function can be studied for any of the nondominated solutions.

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author
organization
publishing date
type
Contribution to journal
publication status
in press
subject
in
Geographical Analysis
publisher
Wiley-Blackwell
external identifiers
  • scopus:84977487364
ISSN
0016-7363
DOI
10.1111/gean.12111
language
English
LU publication?
yes
id
47e45b4c-efaa-4ce2-8133-10183bfe9fdf
date added to LUP
2016-07-29 13:23:46
date last changed
2017-10-01 05:21:58
@article{47e45b4c-efaa-4ce2-8133-10183bfe9fdf,
  abstract     = {<p>Usually, allocation of resources is an optimization problem which involves a variety of conflicting economic, social, and ecological objectives. In such a process, advanced geographic analyst tool for manipulation of spatial data and satisfaction of multiple objectives is essential to the success of decision-making. The present research intends to demonstrate the application of a multiobjective optimization method based on NSGA-II (we call it HNSGA-II), along with Geographical Information System (GIS) to select suitable sites for the establishment of large industrial units. Having defined the elements of HNSGA-II for the site selection of industrial units, the method is tested on the data of Zanjan province, Iran, as the case study. The results showed that the proposed approach can easily find a variety of optimized solutions, giving the decision-makers the possibility to opt for the most propitious solution. Using this method, the achievement level regarding each objective function can be studied for any of the nondominated solutions.</p>},
  author       = {Masoumi, Zohreh and Maleki, Jamshid and Mesgari, Mohammad Sadi and Mansourian, Ali},
  issn         = {0016-7363},
  language     = {eng},
  publisher    = {Wiley-Blackwell},
  series       = {Geographical Analysis},
  title        = {Using an Evolutionary Algorithm in Multiobjective Geographic Analysis for Land Use Allocation and Decision Supporting},
  url          = {http://dx.doi.org/10.1111/gean.12111},
  year         = {2016},
}