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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/9902
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| Title: | Multi-objective evolution for car setup optimization |
| Author(s): | Muñoz, Jorge
Gutiérrez, Germán
Sanchis, Araceli |
| Publisher: | IEEE |
| Issued date: | 2010 |
| Citation: | 2010 UK Workshop on Computational Intelligence (UKCI), IEEE, 2010, p.1-5 |
| URI: | http://hdl.handle.net/10016/9902 |
| ISBN: | 978-1-4244-8773-8 (Online)
978-1-4244-8774-5 (Print) |
| DOI: | http://dx.doi.org/10.1109/UKCI.2010.5625607 |
| Description: | Proceeding of: 2010 UK Workshop on Computational Intelligence (UKCI), september, 8-10, 2010, Colchester United Kingdom. |
| Abstract: | This paper describes the winner algorithm of the Car Setup Optimization Competition that took place in EvoStar (2010). The aim of this competition is to create an optimization algorithm to fine tune the parameters of a car in the The Open Racing Car Simulator (TORCS) video game. There were five participants of the competition plus the two algorithms presented by the organizers (that do not take part in the competition). Our algorithm is a Multi-Objective Evolutionary Algorithm (MOEA) based on the Non-Dominated Sorting Genetic Algorithm (NSGAII) adapted to the constraints of the competition, that focus its fitness function in the lap time. Our results are also compared with other evolutionary algorithms and with the results of the other competition participants. |
| Sponsor: | This work was supported in part by the University Carlos III of Madrid under grant PIF UC3M01-0809 and by the Ministry of Science and Innovation under project TRA2007- 67374-C02-02. |
| Publisher version: | http://dx.doi.org/10.1109/UKCI.2010.5625607 |
| Keywords: | EvoStar
TORCS
The Open Racing Car Simulator
Car setup optimization
Multiobjective evolutionary algorithms
Non-dominated sorting genetic algorithms
Video game
Winner algorithm |
| Rights: | © IEEE |
| Appears in Collections: | DI - CAOS - Capítulos de Monografías
DI - CAOS - Comunicaciones en Congresos y otros eventos
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