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Title:Uporaba evolucijskih algoritmov pri razvoju računalniškega nasprotnika v računalniški igri pikada : magistrsko delo
Authors:ID Tovornik, Nina (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Brezočnik, Lucija (Co-mentor)
Files:.pdf MAG_Tovornik_Nina_2022.pdf (2,52 MB)
MD5: 5F62968447DA078467C24AC54FC98DB6
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Računalniške igre so dandanes nepogrešljivi del sodobnega življenja. Neprestano se spreminjajo in nadgrajujejo ter posledično postajajo čedalje kompleksnejše v razvoju. Zaradi slednjega se lahko pri njihovem razvoju poslužujemo evolucijskih algoritmov, ki temeljijo na Darwinovi teoriji o naravni selekciji. V nalogi smo opisali teorijo evolucijskih algoritmov, predstavili njihovo delitev in podrobneje razložili genetske algoritme in tehnike optimizacije. S pomočjo evolucijskih algoritmov smo v nalogi razvili računalniškega nasprotnika računalniške igre pikada. Temu smo dodali težavnostne stopnje in testirali njihovo uspešnost. Rezultate smo podrobneje proučili in jih v nalogi predstavili.
Keywords:evolucijski algoritmi, genetski algoritmi, inteligenca rojev, računalniška igra pikada, igralni pogon Unity
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[N. Tovornik]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (X, 61 f.))
PID:20.500.12556/DKUM-82257 New window
UDC:004.8.021:004.96(043.2)
COBISS.SI-ID:129543171 New window
Publication date in DKUM:17.10.2022
Views:356
Downloads:64
Metadata:XML RDF-CHPDL 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:08.08.2022

Secondary language

Language:English
Title:Using evolutionary algorithms in development of computer opponent in game of darts
Abstract:Video games have been an integral part of modern life. With constant upgrading they have become more complex to develop. An approach suggested to tackle such problems is inspired by Darwinian theory of biological evolution. The thesis presents an overview of evolutionary algorithms, their origin, branches of evolutionary algorithms, optimization techniques and generic algorithms in more detailed description. With help of evolutionary algorithms, we have developed a computer opponent in game of darts. We also added difficulty levels to computer opponent and tested their performance. The examined results are presented in the thesis.
Keywords:evolutionary algorithms, genetic algorithms, swarm intelligence, computer game of darts, Unity game engine


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