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Dangerousness Metric for Gene Regulated Car Driving

Cussat-Blanc, Sylvain and Disset, Jean and Sanchez, Stéphane Dangerousness Metric for Gene Regulated Car Driving. (2016) In: 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016), part of EvoStar 2016, 30 March 2016 - 1 April 2016 (Porto, Portugal).

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Official URL: http://dx.doi.org/10.1007/978-3-319-31204-0_40

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 9597 of Lecture Notes in Computer Science ISSN : 0302-9743 The original PDF is available at: http://link.springer.com/chapter/10.1007/978-3-319-31204-0_40
HAL Id:hal-01511903
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:23 Mar 2017 15:43

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