Abstract

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.

Keywords

k-center sum problem;clustering problem;multi-objective optimization;NSGA-II;facility location problem;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UNG - University of Nova Gorica
UDC: 004
COBISS: 154428163 Link will open in a new window
Views: 30
Downloads: 0
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

URN: URN:SI:UNG
Type (COBISS): Not categorized
Pages: Str. 417-425
DOI: https://doi.org/10.1007/978-3-319-13728-5_47
ID: 19159994