Automatic Track Generation for High-End Racing Games Using Evolutionary Computation

In this paper, we investigate the application of evolutionary computation to the automatic generation of tracks for high-end racing games. The idea underlying our approach is that diversity is a major source of challenge/interest for racing tracks and, eventually, might play a key role in contributi...

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Bibliographic Details
Published in:	IEEE transactions on computational intelligence and AI in games. Vol. 3; no. 3; pp. 245 - 259
Main Authors:	Loiacono, D., Cardamone, L., Lanzi, P. L.
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2011
Subjects:	Curvature Driving Encoding Entropy Evolutionary algorithms Evolutionary computation Games Genetic algorithms Humans Mathematical analysis multiobjective evolution procedural content generation Racing racing games racing tracks Shape Target tracking TORCS
ISSN:	1943-068X, 1943-0698
Online Access:	Get full text
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