Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Comparing Exact and Heuristic Methods for Site Location Based on Multiple Attributes: An Afforestation Application

Pablo VanegasContact Information, Dirk CattrysseContact Information and Jos Van OrshovenContact Information

(1)  Centre for Industrial Management, Katholieke Universiteit Leuven, Celestijnenlaan 300A, 3001 Heverlee, Leuven,  
(2)  Department of Earth and Environmental Science, Katholieke Universiteit Leuven, Celestijnenlaan 200E, 3001 Heverlee, Leuven,  
Abstract
This paper presents a mathematical formulation and a heuristic solution method in order to locate optimal sites for afforestation of agricultural land. These sites must maximize levels of environmental performance, and must fulfill shape and size requirements. Since the criteria involved in the problem are represented by means of raster structures, the sites are composed by a given number of cells. The ultimate objective of this work is the development of a high performance heuristic able to find near to optimal afforestation sites. For validating the heuristic approach, a comparison with the mathematical method is carried out in limited sized areas within The Netherlands, Denmark, and Flanders. The comparison reveals that the heuristic is considerably faster than the mathematical method, and that the objective values obtained with the two approaches are significantly similar.

Keywords  Site Location - Heuristic - Exact Methods


Contact Information Pablo Vanegas
Email: Pablo.Vanegas@cib.kuleuven.be

Contact Information Dirk Cattrysse
Email: Dirk.Cattrysse@cib.kuleuven.be

Contact Information Jos Van Orshoven
Email: Jos.VanOrshoven@biw.kuleuven.be
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.101 • Server: MPWEB26
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)