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Title:
VIZUALIZACIJA PROCESOV EVOLUCIJSKEGA RAČUNANJA
Authors:
ID
Jerovšek, Tadej
(Author)
ID
Črepinšek, Matej
(Mentor)
More about this mentor...
Files:
MAG_Jerovsek_Tadej_2016.pdf
(5,23 MB)
MD5: 62A5D8C313E3224BA4C8EFC8162A022C
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V tem magistrskem delu se ukvarjamo z vizualizacijo procesov evolucijskih algoritmov in interpretacijo le-teh. Najpogosteje uporabljene metode za primerjavo evolucijskih algoritmov imajo težave že pri oceni algoritmov, samega delovanja algoritmov pa ne upoštevajo. Najprej smo podrobneje pogledali razvoj statističnih metod, kaj nudijo in kje kažejo pomanjkljivosti. Pod drobnogled smo vzeli enokriterijsko in večkriterijsko optimizacijo in jo z uporabo metod vizualizacije informacij predstavili ter interpretirali prednosti in slabosti posameznih algoritmov in problemov, pri čemer smo za temelj uporabili sistem EARS.
Keywords:
evolucijski algoritmi
,
večkriterijska optimizacija
,
vizualizacija informacij
,
primerjava evolucijskih algoritmov
,
Pareto dominiranost
Place of publishing:
[Maribor
Publisher:
T. Jerovšek
Year of publishing:
2016
PID:
20.500.12556/DKUM-63237
UDC:
004.421.2:519.863(043.2)
COBISS.SI-ID:
20124694
NUK URN:
URN:SI:UM:DK:VUSSNA5I
Publication date in DKUM:
28.09.2016
Views:
1759
Downloads:
152
Metadata:
Categories:
KTFMB - FERI
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Vancouver
:
JEROVŠEK, Tadej, 2016,
VIZUALIZACIJA PROCESOV EVOLUCIJSKEGA RAČUNANJA
[online]. Master’s thesis. Maribor : T. Jerovšek. [Accessed 18 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=63237
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Secondary language
Language:
English
Title:
VISUALIZATION OF EVOLUTIONARY COMPUTATION PROCESSES
Abstract:
In this thesis we deal with the visualization of evolutionary processes and its interpretation. Commonly used methods for comparison of evolutionary algorithms have difficulties with rating algorithms, while how they actually work is never taken into account. First we take a closer look at the benefits and shortcomings of statistical methods. We also take a detailed look of single-criteria and multi-criteria optimization and with the use of information visualization methods present advantages and weaknesses of individual algorithms and problems, for which we used the system EARS.
Keywords:
evolutionary algorithms
,
multi-criteria optimization
,
information visualization
,
evolutionary algorithm comparisson
,
Pareto dominance
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