Genetiska algoritmer i realtid för spelutveckling

Examensarbete för kandidatexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/203196
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Type: Examensarbete för kandidatexamen
Bachelor Thesis
Title: Genetiska algoritmer i realtid för spelutveckling
Authors: Hammaräng, Robin
Grankvist, David
Malmek, Fanny
Persson, Jesper
Werme, Olle
Abstract: 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.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2014
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/203196
Collection:Examensarbeten för kandidatexamen // Bachelor Theses



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