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Title:Vpliv programskih jezikov na primerljivost rezultatov evolucijskih algoritmov : magistrsko delo
Authors:ID Sovinc, Žan (Author)
ID Mernik, Marjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Sovinc_Zan_2022.pdf (3,49 MB)
MD5: 07DED37C2B91A092CB8D1C139DF036F0
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu smo primerjali rezultate implementacij algoritmov ABC in WOA, napisanih v različnih programskih jezikih. Primerjali in analizirali smo vsega skupaj osem implementacij, ki so bile napisane v petih programskih jezikih. Rezultate za primerjavo implementacij smo pridobivali z desetimi optimizacijskimi funkcijami. Glavni cilj je bil odkriti in odpraviti razlike v izvornih kodah implementacij algoritmov, zaradi katerih je prihajalo do razlik v rezultatih. Tako smo dobili rezultate, v katerih so bile vse implementacije enako uspešne.
Keywords:evolucijski algoritmi, primerjava rezultatov, optimizacijske funkcije, ABC, WOA
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Ž. Sovinc]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XII, 71 f.))
PID:20.500.12556/DKUM-82951 New window
COBISS.SI-ID:140372483 New window
Publication date in DKUM:25.10.2022
Categories:KTFMB - FERI
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License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:11.09.2022

Secondary language

Title:Influence of different programming languages on the comparability of the results of evolutionary algorithms
Abstract:In the master's thesis, we compared the results of ABC and WOA algorithm implementations written in different programming languages. We compared and analyzed a total of eight implementations written in five programming languages. We obtained the results for the comparison of implementations with ten optimization functions. The main goal was to discover and eliminate differences in the source codes of algorithm implementations that caused differences in results. Thus, we obtained results in which all implementations were equally successful.
Keywords:evolutionary algorithms, comparison of results, optimization functions, ABC, WOA


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