Experiments with Grammatical Evolution in Java

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{Georgiou:2008:K-DC,
  author =       "Loukas Georgiou and William J. Teahan",
  title =        "Experiments with Grammatical Evolution in Java",
  booktitle =    "Knowledge-Driven Computing: Knowledge Engineering and
                 Intelligent Computations",
  publisher =    "Springer",
  year =         "2008",
  editor =       "C. Cotta and S. Reich and R. Schaefer and A. Ligeza",
  volume =       "102",
  series =       "Studies in Computational Intelligence",
  chapter =      "4",
  pages =        "45--62",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution, Evolutionary Computation, jGE, libGE, GP",
  isbn13 =       "978-3-540-77474-7",
  DOI =          "doi:10.1007/978-3-540-77475-4_4",
  abstract =     "Grammatical Evolution (GE) is a novel evolutionary
                 algorithm that uses a genotype-to-phenotype mapping
                 process where variable-length binary strings govern
                 which production rules of a Backus Naur Form grammar
                 are used to generate programs. This paper describes the
                 Java GE project (jGE), which is an implementation of GE
                 in the Java language, as well as some proof-of-concept
                 experiments. The main idea behind the jGE Library is to
                 create a framework for evolutionary algorithms which
                 can be extended to any specific implementation such as
                 Genetic Algorithms, Genetic Programming and Grammatical
                 Evolution.",
  notes =        "Online version of book available
                 http://www.springer.com/engineering/book/978-3-540-77474-7?detailsPage=toc",
}

Genetic Programming entries for Loukas Georgiou William J Teahan

Citations