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Eksperimentalno ovrednotenje algoritmov za problem razmeščanja centrov : magistrsko delo
ID
Eleršič, Miha
(
Author
),
ID
Mihelič, Jurij
(
Mentor
)
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Abstract
V magistrskem delu predstavimo in implementiramo algoritme za reševanje problema razmeščanja centrov. Osredotočimo se na obstoječe približne algoritme. Razvijemo tudi nov natančen algoritem, ki je občutno hitrejši od izčrpnega preiskovanja. Za potrebe testiranja implementiramo generator naključnih testnih primerov za različne strukture grafov. Ta podpira generiranje naključnih povezanih grafov, dvodimenzionalnih mrež in brezlestvičnih omrežij. Našo implementacijo približnih algoritmov preverimo na standardni knjižnici testnih primerov in na primerih, generiranih z našim generatorjem. Za približne algoritme primerjamo razmerje med časom izvajanja in kakovostjo rešitve.
Language:
Slovenian
Keywords:
algoritmi na grafih
,
kombinatorična optimizacija
,
razmeščanje centrov
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FMF - Faculty of Mathematics and Physics
FRI - Faculty of Computer and Information Science
Year:
2018
PID:
20.500.12556/RUL-103882
UDC:
519.8
COBISS.SI-ID:
18455129
Publication date in RUL:
28.09.2018
Views:
1867
Downloads:
298
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ELERŠIČ, Miha, 2018,
Eksperimentalno ovrednotenje algoritmov za problem razmeščanja centrov : magistrsko delo
[online]. Master’s thesis. [Accessed 14 June 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=103882
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Language:
English
Title:
Experimental Evaluation of Algorithms for the Vertex k-center Problem
Abstract:
In this thesis we present and implement algorithms for the
k
-center problem. We focus on existing heuristic algorithms. We also develop a new exact algorithm and show its superiority over the exhaustive enumeration. For testing purposes we implemented a random graph generator. It can generate random connected graphs, two-dimensional grids and scale-free networks. Our implementation of algorithms was tested on the standard test suite and the graphs generated by our generator. We also compare the ratio between computation time and result quality of heuristic algorithms.
Keywords:
graph algorithms
,
combinatorial optimization
,
vertex k-center
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