Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming

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

@InProceedings{Fitzgerald:2013:nabic,

• author = "Jeannie Fitzgerald and Conor Ryan",
• title = "Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming",
• booktitle = "5th World Congress on Nature and Biologically Inspired Computing (NaBIC 2013)",
• year = "2013",
• editor = "Simone Ludwig and Patricia Melin and Ajith Abraham and Ana Maria Madureira and Kendall Nygard and Oscar Castillo and Azah Kamilah Muda and Kun Ma and Emilio Corchado",
• pages = "232--237",
• address = "Fargo, USA",
• month = "12-14 " # aug,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Self Adaptive, Geneteic Algorithm, Adaptive Selection",
• isbn13 = "978-1-4799-1415-9",
• URL = "http://www.mirlabs.net/nabic13/proceedings/html/paper55.xml",
• DOI = "doi:10.1109/NaBIC.2013.6617868",
• size = "6 pages",
• abstract = "In this paper we investigate a new method for improving generalization performance of Genetic Programming(GP) on Binary Classification tasks. The scheme of self adaptive, individualized genetic operators combined with adaptive tournament size is designed to provide balanced, self-adaptive exploration and exploitation. We test this scheme on several benchmark Binary Classification problems and find that the proposed techniques deliver superior performance when compared with both a tuned GP configuration and a feedback adaptive GP implementation.",
• notes = "USB only?, IEEE Catalog Number: CFP1395H-POD Also known as \cite{6617868}",

}

Genetic Programming entries for Jeannie Fitzgerald Conor Ryan

Citations