DocumentCode :
255814
Title :
A density based model for facility location problem
Author :
Sharma, A. ; Kant, K. ; Jalal, A.S.
Author_Institution :
GLA Univ., Mathura, India
fYear :
2014
fDate :
11-13 Dec. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Solutions for facility location problems are numerous. As the problem is NP hard, continuous efforts have been made to find more efficient techniques. The nature of the facility adds to its variety. A popular approach has been based on geometric solutions. Other methods have also been tried; one of them is based on density applied for large databases as in Spatial Data Mining and Geographic Information Systems. A novel approach is evolved using density in the work presented in this paper wherein two stage solution is proposed for Uncapacitated Facility Location Problem. Experiments are conducted for urban public facility on standard data set of houses and roads to establish the superiority of the technique.
Keywords :
facility location; optimisation; set theory; NP hard problem; density based model; standard data set; two-stage solution; uncapacitated facility location problem; urban public facility; Algorithm design and analysis; Approximation algorithms; Approximation methods; Availability; Clustering algorithms; Educational institutions; Roads; Approximation; Clustering; Density; Facility location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
Type :
conf
DOI :
10.1109/INDICON.2014.7030648
Filename :
7030648
Link To Document :
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