In English

Genetiska algoritmer i realtid för spelutveckling

Robin Hammaräng ; David Grankvist ; Fanny Malmek ; Jesper Persson ; Olle Werme
Göteborg : Chalmers tekniska högskola, 2014. 54 s.
[Examensarbete för kandidatexamen]

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.



Publikationen registrerades 2014-09-24. Den ändrades senast 2014-09-24

CPL ID: 203196

Detta är en tjänst från Chalmers bibliotek