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1.
BAT algorithm for improving fuzzy C-means clustering for location allocation of rural kiosks in developing countries under e-governance
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2016, izvirni znanstveni članek

Opis: Rural Kiosks are important infrastructural pillar in rural regions for internet and basic technology facility all around the world. They are also known as Tele-centers or Common Service Centers and are majorly used by government to promote Electronic Governance. The major characteristic of setting up of Rural Kiosk is their appropriate location so that people from rural region can avail the services at minimum travel cost and time. There are lot of traditional schemes used by researchers in past for location allocation but this paper proposes the usage of Fuzzy C-Means clustering and BAT algorithm to optimize the location of Rural Kiosk. The meta-heuristic approach has produced better results as compared to normal graph theories in past. The experiment has been conducted on a random data set of 72 village locations from India and their clusters are formed. It is found that using only Fuzzy C-Means clustering to allocate the center and by using it in combination with BAT algorithm produced up to 25% of efficient results. This can drastically help the key stakeholders in allocation of these Rural Kiosks at right places so as to maximize their utility.
Ključne besede: BAT algorithm, location allocation, rural kiosks, fuzzy C-means, e-governance, tele-centers, common service centers
Objavljeno v RUNG: 01.04.2021; Ogledov: 1851; Prenosov: 0
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2.
A comprehensive review of approaches used for solving tele-centre location allocation problem in geographical plane
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2021, pregledni znanstveni članek

Opis: Setup of tele-centre is the worldwide approach for the establishment of information and communication technology infrastructure in rural areas for the overall development of a country. It is a key resource under e-governance plan in any country, but a major problem with their location allocation is the sustainability. Tele-centre establishment require a suitable location to increase the beneficial effect to service seekers. In this research, multi-faceted problems faced by tele-centres are highlighted. This paper presents a comprehensive study on tele-centre’s location allocation problem and all the recent development in multi-facility location problem research area through more than 150 research papers from high ranked peer-reviewed journals. The research survey examines all the important parameters for the facility location problem and an objective function is also formulated for the same. Based on the survey literature, it is found that the new allocation methods based on meta-heuristic algorithms are emerging. This study would be a useful contribution in the field of location science, tele-centre location allocation and application of meta-heuristic algorithms in e-governance.
Ključne besede: tele-centres, location allocation, common service centres, rural kiosks, meta-heuristic algorithms, e-governance, geographical plane
Objavljeno v RUNG: 01.04.2021; Ogledov: 1813; Prenosov: 57
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3.
Fuzzy C-means clustering and particle swarm optimization based scheme for common service center location allocation
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, izvirni znanstveni članek

Opis: Common Service Centers (CSCs), which are also known as Tele-centers and Rural Kiosks, are important infrastructural options for any country aiming to provide E-Governance services in rural regions. Their main objective is to provide adequate information and services to a country’s rural areas, thereby increasing government-citizen connectivity. Within developing nations, such as India, many CSC allocations are being planned. This study proposes a solution for allocating a CSC for villages in a country according to their E-Governance plan. The Fuzzy C-Means (FCM) algorithm was used for clustering the village dataset and finding a cluster center for CSC allocation, and the Particle Swarm Optimization (PSO) algorithm was used for further optimizing the results obtained from the FCM algorithm based on population. In the context of other studies addressing similar issues, this study highlights the practical implementation of location modeling and analysis. An extensive analysis of the results obtained using a village dataset from India including four prominent states shows that the proposed solution reduces the average traveling costs of villagers by an average of 33 % compared with those of allocating these CSCs randomly in a sorted order and by an average of 11 % relative to centroid allocation using the FCM-based approach only. As compared to traditional approaches like P-Center and P-Median, the proposed scheme is better by 31 % and 14 %, respectively. Therefore, the proposed algorithm yields better results than classical FCM and other types of computing techniques, such as random search & linear programming. This scheme could be useful for government departments managing the allocation of CSCs in various regions. This work should also be useful for researchers optimizing the location allocation schemes used for various applications worldwide.
Ključne besede: common service centers, tele-centers, e-governance, location allocation, fuzzy C-means clustering, particle swarm optimization
Objavljeno v RUNG: 17.02.2021; Ogledov: 2294; Prenosov: 0
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