Higher-Order Functions in Aesthetic EC Encodings

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

@InProceedings{mcdermott_etal:cec2010,

• author = "James McDermott and Jonathan Byrne and John Mark Swafford and Michael O'Neill and Anthony Brabazon",
• title = "Higher-Order Functions in Aesthetic EC Encodings",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• pages = "2816--2823",
• year = "2010",
• isbn13 = "978-1-4244-6910-9",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• organization = "IEEE Computation Intelligence Society",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• DOI = "doi:10.1109/CEC.2010.5586077",
• abstract = "The use of higher-order functions, as a method of abstraction and re-use in EC encodings, has been the subject of relatively little research. In this paper we introduce and give motivation for the ideas of higher-order functions, and describe their general advantages in EC encodings. We implement grammars using higher-order ideas for two problem domains, music and 3D architectural design, and use these grammars in the grammatical evolution paradigm. We demonstrate four advantages of higher-order functions (patterning of phenotypes, non-entropic mutations, compression of genotypes, and natural expression of artistic knowledge) which lead to beneficial results on our problems.",
• notes = "WCCI 2010. Also known as \cite{5586077}",

}

Genetic Programming entries for James McDermott Jonathan Byrne John Mark Swafford Michael O'Neill Anthony Brabazon

Citations