Experiments with Grammatical Evolution in Java
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Georgiou:2008:K-DC,
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author = "Loukas Georgiou and William J. Teahan",
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title = "Experiments with Grammatical Evolution in Java",
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booktitle = "Knowledge-Driven Computing: Knowledge Engineering and
Intelligent Computations",
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publisher = "Springer",
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year = "2008",
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editor = "C. Cotta and S. Reich and R. Schaefer and A. Ligeza",
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volume = "102",
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series = "Studies in Computational Intelligence",
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chapter = "4",
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pages = "45--62",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, Evolutionary Computation, jGE, libGE, GP",
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isbn13 = "978-3-540-77474-7",
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DOI = "doi:10.1007/978-3-540-77475-4_4",
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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.",
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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