Tree-Adjunct Grammatical Evolution

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

@InProceedings{murphy_etal:cec2010,

• author = "Eoin Murphy and Michael O'Neill and Edgar Galvan-Lopez and Anthony Brabazon",
• title = "Tree-Adjunct Grammatical Evolution",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• pages = "4449--4456",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, TAG",
• isbn13 = "978-1-4244-6910-9",
• DOI = "doi:10.1109/CEC.2010.5586497",
• size = "8 pages",
• abstract = "In this paper we investigate the application of tree-adjunct grammars to grammatical evolution. The standard type of grammar used by grammatical evolution, context-free grammars, produce a subset of the languages that tree-adjunct grammars can produce, making tree-adjunct grammars, expressively, more powerful. In this study we shed some light on the effects of tree-adjunct grammars on grammatical evolution, or tree-adjunct grammatical evolution. We perform an analytic comparison of the performance of both setups, i.e., grammatical evolution and tree-adjunct grammatical evolution, across a number of classic genetic programming benchmarking problems. The results firmly indicate that tree-adjunct grammatical evolution has a better overall performance (measured in terms of finding the global optima).",
• notes = "adjunction is the only composition operator, TAG3P alpha trees. Auxiliary trees= beta trees. Elementary trees. TAGE (fixed chromosome length). GEVA v1.1. Even-5-parity, Santa Fe Ant, symbolic regression, 6-Mux, Max problem \cite{Gathercole:1996:aicrtd} \cite{langdon:1997:MAX}. WCCI 2010. Also known as \cite{5586497}",

}

Genetic Programming entries for Eoin Murphy Michael O'Neill Edgar Galvan Lopez Anthony Brabazon

Citations