Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{Fagan:2010:EuroGP,
author = "David Fagan and Michael O'Neill and
Edgar Galvan-Lopez and Anthony Brabazon and Sean McGarraghy",
title = "An Analysis of Genotype-Phenotype Maps in Grammatical
Evolution",
booktitle = "Proceedings of the 13th European Conference on Genetic
Programming, EuroGP 2010",
year = "2010",
editor = "Anna Isabel Esparcia-Alcazar and Aniko Ekart and
Sara Silva and Stephen Dignum and A. Sima Uyar",
volume = "6021",
series = "LNCS",
pages = "62--73",
address = "Istanbul",
month = "7-9 " # apr,
organisation = "EvoStar",
publisher = "Springer",
keywords = "genetic algorithms, genetic programming",
isbn13 = "978-3-642-12147-0",
doi = "
doi:10.1007/978-3-642-12148-7_6",
abstract = "We present an analysis of the genotype-phenotype map
in Grammatical Evolution (GE). The standard map adopted
in GE is a depth-first expansion of the non-terminal
symbols during the derivation sequence. Earlier studies
have indicated that allowing the path of the expansion
to be under the guidance of evolution as opposed to a
deterministic process produced significant performance
gains on all of the benchmark problems analysed. In
this study we extend this analysis to include a
breadth-first and random map, investigate additional
benchmark problems, and take into consideration the
implications of recent results on alternative grammar
representations with this new evidence. We conclude
that it is possible to improve the performance of
grammar-based Genetic Programming by the manner in
which a genotype-phenotype map is performed.",
notes = "Typed GP, GEVA, pi-GE, 5-parity, x+x^2+x^3+x^4, Santa
Fe trail, Max \cite{langdon:1997:MAX}.
Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
held in conjunction with EvoCOP2010 EvoBIO2010 and
EvoApplications2010",
}
Genetic Programming entries for David Fagan Michael O'Neill Edgar Galvan Lopez Anthony Brabazon Sean McGarraghy