Recurrent Cartesian Genetic Programming Applied to Series Forecasting

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@InProceedings{Turner:2015:GECCOcomp,

• author = "Andrew James Turner and Julian Francis Miller",
• title = "Recurrent Cartesian Genetic Programming Applied to Series Forecasting",
• booktitle = "GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation",
• year = "2015",
• editor = "Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr",
• isbn13 = "978-1-4503-3488-4",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming: Poster",
• pages = "1499--1500",
• month = "11-15 " # jul,
• organisation = "SIGEVO",
• address = "Madrid, Spain",
• URL = "http://doi.acm.org/10.1145/2739482.2764647",
• DOI = "10.1145/2739482.2764647",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "Recurrent Cartesian Genetic Programming is a recently proposed extension to Cartesian Genetic Programming which allows cyclic program structures to be evolved. We apply both standard and Recurrent Cartesian Genetic Programming to the domain of series forecasting. Their performance is then compared to a number of well-known classical forecasting approaches. Our results show that not only does Recurrent Cartesian Genetic Programming outperform standard Cartesian Genetic Programming, but it also outperforms many standard forecasting techniques.",
• notes = "Also known as \cite{2764647} Distributed at GECCO-2015.",

}

Genetic Programming entries for Andrew James Turner Julian F Miller

Citations