Crossover in Grammatical Evolution: A Smooth Operator?

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{oneill:2000:xGEso,

• author = "Michael O'Neill and Conor Ryan",
• title = "Crossover in Grammatical Evolution: A Smooth Operator?",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
• year = "2000",
• editor = "Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty",
• volume = "1802",
• series = "LNCS",
• pages = "149--162",
• address = "Edinburgh",
• publisher_address = "Berlin",
• month = "15-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• ISBN = "3-540-67339-3",
• URL = "http://ncra.ucd.ie/papers/eurogp2000.ps.gz",
• DOI = "doi:10.1007/978-3-540-46239-2_11",
• abstract = "Grammatical Evolution is an evolutionary algorithm which can produce code in any language, requiring as inputs a BNF grammar definition describing the output language, and the fitness function. The usefulness of crossover in GP systems has been hotly debated for some time, and this debate has also arisen with respect to Grammatical Evolution. This paper serves to analyse the crossover operator in our algorithm by comparing the performance of a variety of crossover operators. Results show that the standard one point crossover employed by Grammatical Evolution is not as destructive as it might originally appear, and is useful in performing a global search over the course of entire runs. This is attributed to the fact that prior to the crossover event the parent chromosomes undergo alignment which facilitates the swapping of blocks which are more likely to be in context.",
• notes = "EuroGP'2000, part of \cite{poli:2000:GP}",

}

Genetic Programming entries for Michael O'Neill Conor Ryan

Citations