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Title:Implementacija optimizacijskega algoritma po vzorih obnašanja levov v Pythonu : diplomsko delo
Authors:ID Mesarec, Aljoša (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Fister, Iztok (Comentor)
Files:.pdf UN_Mesarec_Aljosa_2021.pdf (1,03 MB)
MD5: E3711B6ECD8A0EFB085793EA50ED813B
PID: 20.500.12556/dkum/69512155-eba1-4f85-a587-ee79acebc695
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je predstavljen razvoj in delovanje algoritma po vzorih obnašanja levov. V praktičnem delu je bil algoritem implementiran v programskem jeziku Python, z vključitvijo knjižnic NiaPy. Izvedena je bila primerjava učinkovitosti s preostalimi že implementiranimi algoritmi iz knjižnice NiaPy. Rezultati so bili primerjani s pomočjo kritičnih testov. Na podlagi rezultatov kritičnih testov je bilo ugotovljeno, da je algoritem po vzorih obnašanja levov primerljiv z ostalimi algoritmi iz knjižnice Niapy.
Keywords:Python, optimizacijski algoritmi, algoritmi po vzorih iz narave, NiaPy
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Mesarec]
Year of publishing:2021
Number of pages:X, 35 str.
PID:20.500.12556/DKUM-80712 New window
UDC:004.428.021(043.2)
COBISS.SI-ID:87864067 New window
Publication date in DKUM:18.10.2021
Views:950
Downloads:64
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:30.09.2021

Secondary language

Language:English
Title:Implementation of Lion Optimization Algorithm in Python
Abstract:Thesis work presents development and functionality of Lion Optimization Algorithm. In practical part the algorithm was implemented in Python with help of the NiaPy library. Efficiency of the algorithm was compared to other already implemented algorithms from NiaPy library. The results were compared with the help of critical tests. Based on the results of the critical tests it was concluded that Lion Optimization Algorithm is comparable to other algorithms from NiaPy library.
Keywords:Python, optimization algorithms, nature-inspired algorithms, NiaPy


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