- 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",
