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Title:Simulacija in vizualizacija ekosistema z uporabo genetskega algoritma in naključnega generiranja podatkov
Authors:ID Mišič, Žan (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Novak, Damijan (Mentor) More about this mentor... New window
Files:.pdf VS_Misic_Zan_2024.pdf (1,98 MB)
MD5: 24DDAA6E1344B848D178D0E7D64BF7AA
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi smo raziskali uporabo genetskega algoritma v kombinaciji z naključnim generiranjem podatkov v razvoju simulacijskega programa. V prvem delu so razloženi pojmi, kot so računska inteligenca, genetski algoritem, naključno generiranje podatkov in šum. V drugem delu so predstavljena orodja, uporabljena pri izdelavi programa. Na koncu, v tretjem delu, je razložena sama izdelava simulacijskega programa. Ustvarjen program lahko ustvari naključno generirano simulacijsko okolje na podlagi vnesenih parametrov, nastavljenih v glavnem meniju. V programu smo uspešno implementirali genetski algoritem in na koncu izpisali vse potrebne podatke za pregled simulacije.
Keywords:naključno generiranje podatkov, genetski algoritem, računska inteligenca, Godot
Place of publishing:Maribor
Publisher:[Ž. Mišič]
Year of publishing:2024
PID:20.500.12556/DKUM-89426 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:220958467 New window
Publication date in DKUM:19.09.2024
Views:133
Downloads:41
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:09.07.2024

Secondary language

Language:English
Title:Ecosystem simulation and visualization using a genetic algorithm and random data generation
Abstract:In the diploma, the use of a genetic algorithm in combination with random data generation was researched in the development of a simulation program. In the first part, concepts such as computational intelligence, genetic algorithm, random data generation, and noise are explained. In the second part, the tools that were used in the creation of the program are presented. In the third part, the process of creating the simulation program is explained. A randomly generated environment can be generated by the created program based on the parameters entered in the main menu. In the program, the genetic algorithm was successfully implemented, and in the end, all the necessary data for reviewing the simulation was displayed.
Keywords:Random data generation, genetic algorithm, computational intelligence, Godot


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