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Title:Meta-heuristic algorithms to improve fuzzy C-means and K-means clustering for location allocation of telecenters under e-governance in developing nations
Authors:Gupta, Rajan (Author)
Muttoo, Sunil K. (Author)
Pal, Saibal K. (Author)
Work type:Unknown ()
Tipology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:The telecenter, popularly known as the rural kiosk or common service center, is an important building block for the improvement of e-governance in developing nations as they help in better citizen engagement. Setting up of these centers at appropriate locations is a challenging task; inappropriate locations can lead to a huge loss to the government and allied stakeholders. This study proposes the use of various meta-heuristic algorithms (particle swarm optimization, bat algorithm, and ant colony optimization) for the improvement of traditional clustering approaches (K-means and fuzzy C-means) used in the facility location allocation problem and maps them for the betterment of telecenter location allocation. A dataset from the Indian region was considered for the purpose of this experiment. The performance of the algorithms when applied to traditional facility location allocation problems such as set-cover, P-median, and the P-center problem was investigated, and it was found that their efficiency improved by 20%–25% over that of existing algorithms.
Keywords:ant colony optimization, bat algorithm, common service center, e-governance, fuzzy clustering, meta-heuristic algorithm, particle swarm optimization
Year of publishing:2019
Number of pages:str. 290-298
Numbering:no. 4, Vol. 19
COBISS_ID:57967619 Link is opened in a new window
ISSN on article:2093-744X
DOI:10.5391/IJFIS.2019.19.4.290 Link is opened in a new window
Categories:Document is not linked to any category.
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Record is a part of a journal

Title:International journal of fuzzy logic and intelligent systems
Shortened title:Int. j. fuzzy log. intell. syst.
Publisher:Korean Institute of Intelligent Systems
COBISS.SI-ID:57965315 New window