%0 Conference Paper
%A Cussat-Blanc, Sylvain
%A Disset, Jean
%A Sanchez, Stéphane
%B 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016), part of EvoStar 2016
%C Porto, Portugal
%D 2016
%F publications:28867
%I Springer
%K Gene regulatory network - Virtual car racing - Dangerousness measure
%P 620-635
%T Dangerousness Metric for Gene Regulated Car Driving
%U https://publications.ut-capitole.fr/id/eprint/28867/
%X In this paper, we show how a dangerousness metric can be used to modify the input of a gene regulatory network when plugged to a virtual car. In the context of the 2015 Simulated Car Racing Championship organized during GECCO 2015, we have developed a new cartography methodology able to inform the controller of the car about the incoming complexity of the track: turns (slipperiness, angle, etc.) and bumps. We show how this dangerousness metric improves the results of our controller and outperforms other approaches on the tracks used in the competition.