Interactive Interpolating Crossover in Grammatical Evolution

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

@InProceedings{mcdermott_oneill_brabazon:cec2010,

• author = "James McDermott and Michael O'Neill and Anthony Brabazon",
• title = "Interactive Interpolating Crossover in Grammatical Evolution",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• pages = "3018--3025",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• isbn13 = "978-1-4244-6910-9",
• DOI = "doi:10.1109/CEC.2010.5585937",
• size = "8 pages",
• abstract = "Interactive interpolating crossover allows a user to quickly see a large number of individuals formed by interactively-controlled interpolation between two or more parents. We study it here for the first time in the context of grammatical evolution (GE). We define methods of quantifying the behaviour of interpolations and use them to compare two methods of performing interpolation and two encodings for GE, one standard and one new. We conclude that a Cartesian interpolation combined with a novel developmental-style GE encoding gives the most usable results. We make connections between our work and broader issues of genotype-phenotype mappings, landscapes, and operators.",
• notes = "currying, map, fmap, ADF, HO-ADF,W-gate turtle graphics, music WCCI 2010. Also known as \cite{5585937}",

}

Genetic Programming entries for James McDermott Michael O'Neill Anthony Brabazon

Citations