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Naslov:Meta-heuristic algorithms to improve fuzzy C-means and K-means clustering for location allocation of telecenters under e-governance in developing nations
Avtorji:ID Gupta, Rajan (Avtor)
ID Muttoo, Sunil K. (Avtor)
ID Pal, Saibal K. (Avtor)
Datoteke:URL http://doi.org/10.5391/IJFIS.2019.19.4.290
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis: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.
Ključne besede:ant colony optimization, bat algorithm, common service center, e-governance, fuzzy clustering, meta-heuristic algorithm, particle swarm optimization
Leto izida:2019
Št. strani:str. 290-298
Številčenje:Vol. 19, no. 4
PID:20.500.12556/RUNG-6394 Novo okno
COBISS.SI-ID:57967619 Novo okno
UDK:004
ISSN pri članku:2093-744X
DOI:10.5391/IJFIS.2019.19.4.290 Novo okno
NUK URN:URN:SI:UNG:REP:LKE8DYU1
Datum objave v RUNG:01.04.2021
Število ogledov:2101
Število prenosov:10
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Gradivo je del revije

Naslov:International journal of fuzzy logic and intelligent systems
Skrajšan naslov:Int. j. fuzzy log. intell. syst.
Založnik:Korean Institute of Intelligent Systems
ISSN:2093-744X
COBISS.SI-ID:57965315 Novo okno

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