Genetic Programming for Generalised Helicopter Hovering Control

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{dracopoulos:2012:EuroGP,

• author = "Dimitris C. Dracopoulos and Dimitrios Effraimidis",
• title = "Genetic Programming for Generalised Helicopter Hovering Control",
• booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
• year = "2012",
• month = "11-13 " # apr,
• editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
• series = "LNCS",
• volume = "7244",
• publisher = "Springer Verlag",
• address = "Malaga, Spain",
• pages = "25--36",
• organisation = "EvoStar",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_3",
• keywords = "genetic algorithms, genetic programming, Helicopter hovering, Nonlinear control, Neuroevolutionary control, Reinforcement learning",
• abstract = "We show how genetic programming can be applied to helicopter hovering control, a nonlinear high dimensional control problem which previously has been included in the literature in the set of benchmarks for the derivation of new intelligent controllers . The evolved controllers are compared with a neuroevolutionary approach which won the first position in the 2008 helicopter hovering reinforcement learning competition. GP performs similarly (and in some cases better) with the winner of the competition, even in the case where unknown wind is added to the dynamic system and control is based on structures evolved previously, i.e. the evolved controllers have good generalisation capability.",
• notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",

}

Genetic Programming entries for Dimitris C Dracopoulos Dimitrios Effraimidis

Citations