RT Conference Proceedings
T1 Driving Cars by Means of Genetic Algorithms
A1 Sáez Achaerandio, Yago
A1 Pérez, Diego
A1 Sanjuan, Óscar
A1 Isasi, Pedro
AB The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue. Automobile manufacturers view automatic driving as a very interesting product with motivating key features which allow improvement of the safety of the car, reducing emission or fuel consumption or optimizing driver comfort during long journeys. Car racing is an active research field where new advances in aerodynamics, consumption and engine power are critical each season. Our proposal is to research how evolutionary computation techniques can help in this field. As a first goal we want to automatically learn to drive, by means of genetic algorithms, optimizing lap times while driving through three different circuits.
PB Springer
SN 978-3-540-87699-1
SN 1611-3349 (Online)
YR 2008
FD 2008
LK https://hdl.handle.net/10016/4086
UL https://hdl.handle.net/10016/4086
LA eng
NO Proceedings of: 10th International Conference onParallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008
DS e-Archivo
RD 20 may. 2024