Genetiska algoritmer i realtid för spelutveckling
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Typ
Examensarbete för kandidatexamen
Bachelor Thesis
Bachelor Thesis
Program
Software Engineering (300 hp)
Publicerad
2014
Författare
Hammaräng, Robin
Grankvist, David
Malmek, Fanny
Persson, Jesper
Werme, Olle
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This paper discuss genetic algorithms and their applicability in game development. The possibility to generate a diversified response from a game depending on the player’s choices or strategies is evaluated, as an alternative to programming each possible event beforehand. The paper describes the implementation of a prototype, which uses genetic algorithms in real-time. The prototype is modelled after a simple game model to serve as an evaluation platform for the algorithms. Based on analyzed data from the prototype conclusions are drawn about the impact of the genetic algorithm on the game's behavior, user experience and their usefulness in the area.
Beskrivning
Ämne/nyckelord
Data- och informationsvetenskap , Computer and Information Science