| Title: | Meta-heuristic algorithms to improve fuzzy C-means and K-means clustering for location allocation of telecenters under e-governance in developing nations |
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| Authors: | Gupta, Rajan (Author)
Muttoo, Sunil K. (Author)
Pal, Saibal K. (Author) |
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| Files: |  http://doi.org/10.5391/IJFIS.2019.19.4.290
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| Language: | English |
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| Work type: | Unknown () |
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| Tipology: | 1.01 - Original Scientific Article |
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| Organization: | UNG - University of Nova Gorica |
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| 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. |
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| Keywords: | ant colony optimization, bat algorithm, common service center, e-governance, fuzzy clustering, meta-heuristic algorithm, particle swarm optimization |
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| Year of publishing: | 2019 |
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| Number of pages: | str. 290-298 |
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| Numbering: | no. 4, Vol. 19 |
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| COBISS_ID: | 57967619  |
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| UDC: | 004 |
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| ISSN on article: | 2093-744X |
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| URN: | URN:SI:UNG:REP:LKE8DYU1 |
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| DOI: | 10.5391/IJFIS.2019.19.4.290 |
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| Views: | 1246 |
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| Downloads: | 7 |
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| Metadata: |     |
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| Categories: | Document is not linked to any category. |
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