Genetiska algoritmer i realtid för spelutveckling
dc.contributor.author | Hammaräng, Robin | |
dc.contributor.author | Grankvist, David | |
dc.contributor.author | Malmek, Fanny | |
dc.contributor.author | Persson, Jesper | |
dc.contributor.author | Werme, Olle | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers) | sv |
dc.contributor.department | Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers) | en |
dc.date.accessioned | 2019-07-03T13:31:02Z | |
dc.date.available | 2019-07-03T13:31:02Z | |
dc.date.issued | 2014 | |
dc.description.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. | |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/203196 | |
dc.language.iso | swe | |
dc.setspec.uppsok | Technology | |
dc.subject | Data- och informationsvetenskap | |
dc.subject | Computer and Information Science | |
dc.title | Genetiska algoritmer i realtid för spelutveckling | |
dc.type.degree | Examensarbete för kandidatexamen | sv |
dc.type.degree | Bachelor Thesis | en |
dc.type.uppsok | M2 | |
local.programme | Software Engineering (300 hp) |
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