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Title:Sistem za oddajo in ovrednotenje evolucijskih algoritmov
Authors:ID Škorc, Jure (Author)
ID Črepinšek, Matej (Mentor) More about this mentor... New window
Files:.pdf MAG_Skorc_Jure_2018.pdf (2,05 MB)
MD5: 700218D2DFCCFCC760ECE588A753CBBA
PID: 20.500.12556/dkum/75fcb022-8407-4b37-8706-6c292e0cbed3
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen magistrskega dela je razvoj spletnega sistema za oddajo, validacijo ter ovrednotenje evolucijskih algoritmov. V nalogi smo predstavili obstoječe sisteme za ocenjevanje evolucijskih algoritmov ter njihove pomanjkljivosti. Z uporabo programskega jezika JavaScript smo znotraj razvojnega okolja NodeJS izdelali lastno programsko rešitev, spletno platformo, ki uporabnikom na enostaven način omogoča oddajo, ovrednotenje in primerjavo evolucijskih algoritmov. Na koncu smo podali še praktičen primer uporabe spletne platforme in pridobljene podatke uporabili za statistično analizo.
Keywords:evolucijski algoritmi, ovrednotenje evolucijskih algoritmov, NodeJS, spletna platforma za oddajo evolucijskih algoritmov
Place of publishing:[Maribor
Publisher:J. Škorc
Year of publishing:2018
PID:20.500.12556/DKUM-69468 New window
UDC:004.421(043.2)
COBISS.SI-ID:21237270 New window
NUK URN:URN:SI:UM:DK:AAOC2OKX
Publication date in DKUM:07.03.2018
Views:1083
Downloads:139
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:24.01.2018

Secondary language

Language:English
Title:Evolutionary algorithms submission and rating system
Abstract:The main goal of this master thesis was the development of an online system for the submission, validation and evaluation of evolutionary algorithms. In this paper we presented the existing systems for evaluating evolutionary algorithms and their deficiencies. Using the JavaScript programming language and NodeJS development environment, we developed our own software solution, a web platform that enables users to submit, evaluate and compare evolutionary algorithms in a simple and intuitive way. In the end we have performed statistycal analysis of the data gathered through practical use of our web based solution.
Keywords:evolution algorithms, rating of evolution algorithms, NodeJS, evolutionary algorithms submissions platform


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