Evolutionary Development of Electronic Stability Program for a Simulated Car in TORCS Environment
Created by W.Langdon from
gp-bibliography.bib Revision:1.7989
- @InProceedings{Huang:2015:CEC,
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author = "Jilin Huang and Ivan Tanev and Katsunori Shimohara",
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title = "Evolutionary Development of Electronic Stability
Program for a Simulated Car in TORCS Environment",
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booktitle = "Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015)",
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year = "2015",
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editor = "Yadahiko Murata",
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pages = "1474--1481",
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address = "Sendai, Japan",
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month = "25-28 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4799-7491-7",
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DOI = "doi:10.1109/CEC.2015.7257062",
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abstract = "We propose an approach of applying genetic programming
(GP) for automated development of electronic stability
program (ESP) of a car, realistically simulated in The
Open Source Racing Car Simulator (TORCS). ESP
facilitates the yaw rotation of an unstable (e.g.,
understeering or oversteering) car in slippery road
conditions by applying asymmetric braking forces to its
wheels. In the proposed approach, the amount of
ESP-induced braking force is evolved - via GP - as an
algebraic function of the parameters, pertinent to the
state of the car, and their derivatives. The
experimental results suggest that, compared to the car
without ESP, the best evolved ESP offers a superior
controllability - in terms of both (i) a smaller
deviation from the ideal trajectory and (ii) faster
average speed on a given, snowy test track. Presented
work could be viewed as step towards the verification
of the feasibility of GP for automated development of
ESP. Also, we hope that the ESP, as a contributed new
functionality of TORCS, would enrich the experience of
gamers by adding an enhanced controllability of their
cars in challenging road conditions.",
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notes = "1025 hrs 15347 CEC2015",
- }
Genetic Programming entries for
Jilin Huang
Ivan T Tanev
Katsunori Shimohara
Citations