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Title:Določitev večplastnega modela zemlje z optimizacijskimi metodami : magistrsko delo
Authors:ID Gošnjak, Nejc (Author)
ID Jesenik, Marko (Mentor) More about this mentor... New window
ID Trbušić, Mislav (Comentor)
Files:.pdf MAG_Gosnjak_Nejc_2025.pdf (1,76 MB)
MD5: A23B5ABDFA925FB4CB6C769009792206
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrska naloga obravnava večplastne modele zemlje in strategije diferencialne evolucije na raznolikih testnih podatkih. Cilj je določiti najprimernejšo strategijo in večplastni model za testne podatke. Uporabljene so 3 optimizacijske metode, ki so med seboj primerjane. Primerjajo se DE/best/1/bin, DE/rand/1/bin in DE/rand/1/exp. Med seboj se tudi primerjajo 2, 3, 4, 5 in 6 plastni modeli. Za čim bolj raznolike vhodne podatke je uporabljenih šest različnih kompletov testnih podatkov za določitev parametrov zemlje. Ker izračuni delujejo na osnovi naključnih vrednosti, se pri istih začetnih pogojih rezultati med seboj po navadi razlikujejo. Da bi se zmanjšal vpliv naključja se vsak izračun ponovi 30 krat.
Keywords:večplastni model zemlje, diferencialna evolucija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[N. Gošnjak]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XV, [57] f.))
PID:20.500.12556/DKUM-92643 New window
UDC:519.863:696.6(043.2)
COBISS.SI-ID:239034371 New window
Publication date in DKUM:03.06.2025
Views:283
Downloads:46
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:29.04.2025

Secondary language

Language:English
Title:Determining a multilayered soil model using optimization methods
Abstract:The master's thesis deals with multilayered soil models and differential evolution strategies on diverse test data. The goal is to determine the most appropriate strategy and multi-layered model for the test data. 3 optimization methods are used and compared with each other. DE/best/1/bin, DE/rand/1/bin and DE/rand/1/exp are compared. 2, 3, 4, 5 and 6 layer models are also compared to each other. Six different sets of test data are used to determine soil parameters for as diverse an input as possible. Since the calculations work on the basis of random values, the results usually differ from each other for the same initial conditions. In order to reduce the influence of chance, each calculation is repeated 30 times.
Keywords:multilayered soil model, differential evolution


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