Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{nicolau:2012:EuroGP,

• author = "Miguel Nicolau and Matthew Saunders and Michael O'Neill and Bruce Osborne and Anthony Brabazon",
• title = "Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution",
• 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 = "134--145",
• organisation = "EvoStar",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_12",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, Real-world applications, Symbolic regression",
• abstract = "Accurate measurements of Net Ecosystem Exchange of carbon dioxide between atmosphere and biosphere are required in order to estimate annual carbon budgets. These are typically obtained with Eddy Covariance techniques. Unfortunately, these techniques are often both noisy and incomplete, due to data loss through equipment failure and routine maintenance, and require gap-filling techniques in order to provide accurate annual budgets. In this study, a grammar-based version of Genetic Programming is employed to generate interpolating models for flux data. The evolved models are robust, and their symbolic nature provides further understanding of the environmental variables involved.",
• notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",

}

Genetic Programming entries for Miguel Nicolau Matthew Saunders Michael O'Neill Bruce Arthur Osborne Anthony Brabazon

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