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Title:Analiza evolucijskega algoritma WOA : magistrsko delo
Authors:ID Krnc, Janez (Author)
ID Črepinšek, Matej (Mentor) More about this mentor... New window
Files:.pdf MAG_Krnc_Janez_2020.pdf (4,10 MB)
MD5: 78757334FE77338885273A9A48B2D052
PID: 20.500.12556/dkum/48b58516-e0c8-419d-b79b-5c0493df7d83
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Implementirali in analizirali smo moderni evolucijski algoritem po znanstvenem članku »The Whale Optimization Algorithm« avtorjev Seyedali Mirjalili in Andrew Lewis. Naredili smo primerjavo s podobnim algoritmom GWO istih avtorjev, opisanim v članku »Gray Wolf Optimizer«, in drugimi evolucijskimi algoritmi. Algoritem smo implementirali v programskem jeziku Java v sistemu za ocenjevanje evolucijskih algoritmov (angl. »evolutionary algorithm rating system«), znan tudi kot EARS [3]. Pri implementaciji smo se zgledovali po podani izvorni kodi avtorjev, napisani v Matlab-u [4]. Implementirali smo dva realna optimizacijska problema in algoritem na njima tudi preizkusili. Rezultate optimizacije problemov smo primerjali z rešitvami drugih algoritmov. Nenazadnje smo preverili pravilnost in točnost delovanja naše implementacije v primerjavi z izvorno kodo.
Keywords:evolucijski algoritmi, vzorci iz narave, optimizacijski algoritmi, optimizacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[J. Krnc]
Year of publishing:2020
Number of pages:90 f.
PID:20.500.12556/DKUM-77458 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:38011907 New window
NUK URN:URN:SI:UM:DK:3IVLFUD1
Publication date in DKUM:02.11.2020
Views:1129
Downloads:105
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:31.08.2020

Secondary language

Language:English
Title:Analysis of the evolutionary Whale Optimization Algorithm
Abstract:In this thesis, the modern evolutionary algorithm described in Seyedali Mirjalili's and Andrew Lewis' article »The Whale Optimization Algorithm« was analysed and implemented. A detailed comparison was made with similar evolutionary algorithms, including the GWO algorithm presented by the same authors. The WOA algorithm was implemented in the Java programming language, in EARS (Evolutionary Algorithm Rating System) framework. Two real-world optimisation problems were implemented and solved with our WOA algorithm implementation. The results were compared with the results of other evolutionary algorithms. Finally, the results were compared to the authors’ Matlab source code.
Keywords:evolutionary algorithms, nature-inspired patterns, optimisation algorithms, optimisation


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