Gene regulated car driving: using a gene regulatory network to drive a virtual car

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Sanchez:2014:GPEM,

• author = "Stephane Sanchez and Sylvain Cussat-Blanc",
• title = "Gene regulated car driving: using a gene regulatory network to drive a virtual car",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2014",
• volume = "15",
• number = "4",
• pages = "477--511",
• month = dec,
• note = "Special issue on GECCO competitions",
• keywords = "genetic algorithms, genetic programming, Gene regulatory network, Virtual car racing, Machine learning, Incremental evolution",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-014-9228-y",
• size = "35 pages",
• abstract = "This paper presents a virtual racing car controller based on an artificial gene regulatory network. Usually used to control virtual cells in developmental models, recent works showed that gene regulatory networks are also capable to control various kinds of agents such as foraging agents, pole cart, swarm robots, etc. This paper details how a gene regulatory network is evolved to drive on any track through a three-stages incremental evolution. To do so, the inputs and outputs of the network are directly mapped to the car sensors and actuators. To make this controller a competitive racer, we have distorted its inputs online to make it drive faster and to avoid opponents. Another interesting property emerges from this approach: the regulatory network is naturally resistant to noise. To evaluate this approach, we participated in the 2013 simulated racing car competition against eight other evolutionary and scripted approaches. After its first participation, this approach finished in third place in the competition.",
• notes = "TORCS simulator 'We have compared the effect of noise on our driver and on six other approaches. These are Mr Racer's CMA-ES based approach, Autopia's fuzzy controller, Cobostar CMA-ES optimised hand-coded strategies, Cardamone's NEAT driver, Ready2Win's modular architecture and Mariscal's expert system'.",

}

Genetic Programming entries for Stephane Sanchez Sylvain Cussat-Blanc

Citations