Uporaba evolucijskih algoritmov za generiranje ključnih gradnikov igre Tower Defence s pomočjo igralnega pogona Unity : magistrsko delo

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Title:	Uporaba evolucijskih algoritmov za generiranje ključnih gradnikov igre Tower Defence s pomočjo igralnega pogona Unity : magistrsko delo
Authors:	ID Kraner, Vid (Author) ID Fister, Iztok (Mentor) More about this mentor... ID Brezočnik, Lucija (Comentor)
Files:	MAG_Kraner_Vid_2020.pdf (3,74 MB) MD5: 638F888FC55D70CC016237FAB9F71A92 PID: 20.500.12556/dkum/564d9c21-b59d-4b95-98c8-7677591d0b0e
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	Evolucijski algoritmi so stohastični iskalni algoritmi, ki jemljejo navdih v Darwinovi teoriji boja za obstanek. Evolucijski algoritmi spadajo tudi med optimizacijske algoritme. V magistrskem delu prikazujemo načrtovanje in razvoj Tower Defence igre, ki smo jo razvili s pomočjo igralnega pogona Unity. Igra uporablja evolucijske algoritme za generiranje ključnih gradnikov igre. V delu smo raziskali različne vrste evolucijskih algoritmov ter opisali njihovo delovanje. Prav tako smo raziskali, kako jih lahko uporabimo v računalniških igrah. Še posebej smo se osredotočili na zvrst Tower Defence. Ugotovili smo, da je s pomočjo evolucijskih algoritmov možno generirati gradnike, ki naredijo igro zanimivejšo.
Keywords:	evolucijski algoritmi, generiranje vsebine, Tower Defence, Unity
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[V. Kraner]
Year of publishing:	2020
Number of pages:	X, 63 f.
PID:	20.500.12556/DKUM-77781
UDC:	004.5:004.021(043.2)
COBISS.SI-ID:	37746179
NUK URN:	URN:SI:UM:DK:Y65U8EUS
Publication date in DKUM:	03.11.2020
Views:	1305
Downloads:	134
Metadata:
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:	14.09.2020

Secondary language

Language:	English
Title:	Using evolutionary algorithms for the generation of key elements of the Tower Defence game using the Unity game engine
Abstract:	Evolutionary algorithms are stochastic search algorithms inspired by Darwinian evolution through natural selection. Evolutionary algorithms are also optimization algorithms. In the master’s thesis, we show the design and development of Tower Defence game in Unity game engine. The game uses evolutionary algorithms to generate key building blocks of the game. We present different types of evolutionary algorithms and describe how they work. We also explore their use in Tower Defence games on which we focused. We found out, that with evolutionary algorithms, it is possible to generate content that makes the game more interesting.
Keywords:	evolutionary algorithms, content generation, Tower Defence, Unity

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