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Conference Papers Year : 2016

Dangerousness Metric for Gene Regulated Car Driving

Abstract

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.
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Dates and versions

hal-01511903 , version 1 (21-04-2017)

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Sylvain Cussat-Blanc, Jean Disset, Stephane Sanchez. Dangerousness Metric for Gene Regulated Car Driving. 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016), part of EvoStar 2016, Mar 2016, Porto, Portugal. pp.620-635, ⟨10.1007/978-3-319-31204-0_40⟩. ⟨hal-01511903⟩
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