| Naslov: | Multi-Objective K-Center Sum Clustering Problem |
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| Avtorji: | ID Atta, Soumen, Department of Computer Science and Engineering University of Kalyani, Nadia, W.B. (Avtor)
ID Sinha Mahapatra, Priya Ranjan, Department of Computer Science and Engineering University of Kalyani, Nadia, W.B. (Avtor) |
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| Datoteke: |
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Delo ni kategorizirano |
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| Tipologija: | 1.08 - Objavljeni znanstveni prispevek na konferenci |
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| Organizacija: | UNG - Univerza v Novi Gorici
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| Opis: | Given a set P of n objects in two dimensional plane and a positive integer k (≤ n), we have considered the problem of partitioning P into k clusters of circular shape so as to minimize the following two objectives: (i) the sum of radii of these k circular clusters and (ii) the number of points of P covered by more than one circular cluster. The NSGA-II based multi-objective genetic algorithm (MOGA) has been proposed to solve this problem. |
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| Ključne besede: | k-center sum problem, Clustering problem, Multi-objective optimization, NSGA-II, Facility location problem |
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| Status publikacije: | Objavljeno |
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| Leto izida: | 2015 |
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| PID: | 20.500.12556/RUNG-8239 |
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| COBISS.SI-ID: | 154428163 |
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| DOI: | https://doi.org/10.1007/978-3-319-13728-5_47 |
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| NUK URN: | URN:SI:UNG:REP:AUU0B7HZ |
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| Datum objave v RUNG: | 05.06.2023 |
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| Število ogledov: | 914 |
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| Število prenosov: | 0 |
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| Metapodatki: |     |
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