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Title:Implementacija algoritma iL-SHADE v programskem jeziku Python
Authors:ID Rubin, Grega (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Fister, Iztok (Comentor)
Files:.pdf UN_Rubin_Grega_2024.pdf (2,19 MB)
MD5: 376FA3E4B55B56FBE4B2B1F3820808EB
 
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 opišemo algoritme po vzorih iz narave in se poglobimo v delovanje diferencialne evolucije, algoritma iL-SHADE ter njegovega predhodnika L-SHADE. Algoritem iL-SHADE implementiramo v programskem jeziku Python ter s pomočjo testnih funkcij tekmovanja CEC 2014 preizkusimo njegovo delovanje. Rezultate naše implementacije in originalne implementacije uporabimo v Wilcoxonovem neparametričnem testu ter s tem pokažemo pravilnost naše implementacije. Izvedemo tudi primerjavo med našim algoritmom in algoritmom L-SHADE iz knjižnice NiaPy. Algoritem iL-SHADE vključimo v knjižnico NiaPy, katere namen je zbiranje in enostavna uporaba algoritmov po vzorih iz narave.
Keywords:iL-SHADE, NiaPy, algoritmi po vzorih iz narave, evolucijski algoritmi, diferencialna evolucija
Place of publishing:Maribor
Publisher:[G. Rubin]
Year of publishing:2024
PID:20.500.12556/DKUM-90719 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:221212419 New window
Publication date in DKUM:23.12.2024
Views:161
Downloads:58
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:17.09.2024

Secondary language

Language:English
Title:Implementation of the iL-SHADE algorithm in Python programming language
Abstract:In this thesis, we describe nature-inspired algorithms and delve into the workings of differential evolution, the iL-SHADE algorithm, and its predecessor, the L-SHADE algorithm. We implement the iL-SHADE algorithm in the Python programming language and test its performance on the benchmark functions of the CEC 2014 competition. We use the results from our implementation and the original implementation in the Wilcoxon non-parametric test and demonstrate the correctness of our implementation. We also carry out a comparison between our algorithm and the algorithm L-SHADE from the NiaPy library. The algorithm iL-SHADE is included in the NiaPy library, which is designed for the collection and easy use of nature-inspired algorithms.
Keywords:iL-SHADE, NiaPy, nature-inspired algorithms, evolutionary algorithms, differential evolution


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