Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Harding:2010:gecco,

• author = "Simon Harding and Julian F. Miller and Wolfgang Banzhaf",
• title = "Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision",
• booktitle = "GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation",
• year = "2010",
• editor = "Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and Carsten Witt",
• isbn13 = "978-1-4503-0072-8",
• pages = "579--586",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Generative and developmental systems",
• month = "7-11 " # jul,
• organisation = "SIGEVO",
• address = "Portland, Oregon, USA",
• URL = "http://www.cs.mun.ca/~banzhaf/papers/GECCO2010p579.pdf",
• DOI = "doi:10.1145/1830483.1830591",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• size = "8 pages",
• abstract = "Self Modifying Cartesian Genetic Programming (SMCGP) aims to be a general purpose form of developmental genetic programming. The evolved programs are iterated thus allowing an infinite sequence of phenotypes (programs) to be obtained from a single evolved genotype. In previous work this approach has already shown that it is possible to obtain mathematically provable general solutions to certain problems. We extend this class in this paper by showing how SMCGP can be used to find algorithms that converge to mathematical constants (pi and e). Mathematical proofs are given that show that some evolved formulae converge to pi and e in the limit as the number of iterations increase.",
• notes = "Also known as \cite{1830591} GECCO-2010 A joint meeting of the nineteenth international conference on genetic algorithms (ICGA-2010) and the fifteenth annual genetic programming conference (GP-2010)",

}

Genetic Programming entries for Simon Harding Julian F Miller Wolfgang Banzhaf

Citations