How to Choose Appropriate Function Sets for GP

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

@InProceedings{gang:2004:eurogp,

• author = "Gang Wang and Terence Soule",
• title = "How to Choose Appropriate Function Sets for {GP}",
• booktitle = "Genetic Programming 7th European Conference, EuroGP 2004, Proceedings",
• year = "2004",
• editor = "Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule",
• volume = "3003",
• series = "LNCS",
• pages = "198--207",
• address = "Coimbra, Portugal",
• publisher_address = "Berlin",
• month = "5-7 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-21346-5",
• URL = "https://verso.uidaho.edu/esploro/outputs/conferencePaper/How-to-choose-appropriate-function-sets/996631100601851",
• URL = "https://rdcu.be/dQQce",
• DOI = "doi:10.1007/978-3-540-24650-3_18",
• size = "10 pages",
• abstract = "The choice of functions in a genetic program can have a significant effect on the GP's performance, but there have been no systematic studies of how to select functions to optimise performance. We investigate how to choose appropriate function sets for general genetic programming problems. For each problem multiple functions sets are tested. The results show that functions can be classified into function groups of equivalent functions. The most appropriate function set for a problem is one that is optimally diverse; a set that includes one function from each function group.",
• notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in conjunction with EvoCOP2004 and EvoWorkshops2004",

}

Genetic Programming entries for Gang Wang Terence Soule

Citations