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Beschreibung
The objective of this thesis is to find and optimize the racing line of a vehicle with different non-player character (NPC) implementations using genetic algorithms. The racetracks in this case are tubes, defined by a spline and a radius. It is found that the genetic algorithm can indeed be used to optimize the lap times of NPCs around a given track, even though the resulting lap times strongly depend on the NPC implementation. This technique can be used to automate certain aspects of game-development. For instance, racing lines can be generated for each NPC, track and vehicle combination automatically, without losing unique characteristics of each NPC variation.
Finding and Optimizing a Racing Line through a Tubular Track Using Genetic Algorithms
Details
| Verlag | AV Akademikerverlag |
| Ersterscheinung | 09. Dezember 2014 |
| Maße | 22 cm x 15 cm x 0.7 cm |
| Gewicht | 161 Gramm |
| Format | Softcover |
| ISBN-13 | 9783639728200 |
| Seiten | 96 |
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