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논문 기본 정보

자료유형
학술저널
저자정보
Rajan Gupta (University of Delhi) Sunil Kumar Muttoo (University of Delhi) Saibal K. Pal (Defence Research & Development Organization (DRDO))
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.19 No.4
발행연도
2019.12
수록면
290 - 298 (9page)
DOI
10.5391/IJFIS.2019.19.4.290

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초록· 키워드

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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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Abstract
1. Introduction
2. Literature Review
3. Methodology
4. Results
5. Conclusion
References

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