Sunspots modelling: comparison of GP approaches

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

@InProceedings{Rodriguez-vazquez:2013:GECCOcomp,

• author = "Katya Rodriguez-Vazquez",
• title = "Sunspots modelling: comparison of GP approaches",
• booktitle = "GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion",
• year = "2013",
• editor = "Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks",
• isbn13 = "978-1-4503-1964-5",
• keywords = "genetic algorithms, genetic programming",
• pages = "1745--1746",
• month = "6-10 " # jul,
• organisation = "SIGEVO",
• address = "Amsterdam, The Netherlands",
• DOI = "doi:10.1145/2464576.2480779",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "This paper presents a comparative study of the Multi-Branches Genetic Programming (MBGP), GP-NARMAX model approach and Standard Genetic Programming (SGP) for modelling problems. Sunspots data have been considered as study case in order to performance this comparison. The main point is to generate mathematical models in a polynomial form; thus the root node for MBGP has been set as the addition operator. Results show that MBGP rapidly evolves towards good mathematical models which are also easily to translate as well as the GP-NARMAX approach represented in its polynomial form in contrast to SGP.",
• notes = "Also known as \cite{2480779} Distributed at GECCO-2013.",

}

Genetic Programming entries for Katya Rodriguez-Vazquez

Citations