Experiments with Grammatical Evolution in Java

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@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