Doing Genetic Algorithms the Genetic Programming Way

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InCollection{ryan:2003:GPTP,

• author = "Conor Ryan and Miguel Nicolau",
• title = "Doing Genetic Algorithms the Genetic Programming Way",
• booktitle = "Genetic Programming Theory and Practice",
• publisher = "Kluwer",
• year = "2003",
• editor = "Rick L. Riolo and Bill Worzel",
• chapter = "12",
• pages = "189--204",
• keywords = "genetic algorithms, genetic programming, gauge",
• ISBN = "1-4020-7581-2",
• URL = "http://www.springer.com/computer/ai/book/978-1-4020-7581-0",
• DOI = "doi:10.1007/978-1-4419-8983-3_12",
• abstract = "This paper describes the GAuGE system, Genetic Algorithms using Grammatical Evolution, which uses Grammatical Evolution to perform as a position independent Genetic Algorithm. Gauge has already been successfully applied to domains such as bit level, sorting and regression problems, and our experience suggests that it evolves individuals with a similar dynamic to Genetic Programming. That is, there is a hierarchy of dependency within the individual, and, as evolution progresses, those parts at the top of the hierarchy become fixed across a population. We look at the manner in which the population evolves the representation at the same time as optimising the problem, and demonstrate there is a definite emergence of representation.",
• notes = "Part of \cite{RioloWorzel:2003}",
• size = "16 pages",

}

Genetic Programming entries for Conor Ryan Miguel Nicolau

Citations