Exploring Position Independent Initialisation in Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Fagan:2016:CEC,
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author = "David Fagan and Michael Fenton and Michael O'Neill",
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title = "Exploring Position Independent Initialisation in
Grammatical Evolution",
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booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary
Computation (CEC 2016)",
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year = "2016",
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editor = "Yew-Soon Ong",
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pages = "5060--5067",
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address = "Vancouver",
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month = "24-29 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution",
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isbn13 = "978-1-5090-0623-6",
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DOI = "doi:10.1109/CEC.2016.7748331",
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abstract = "Initialisation in Grammatical Evolution (GE) is a
topic that remains open to debate on many fronts. The
literature falls between two mainstay approaches:
random and sensible initialisation. These methods are
not without their drawbacks with the type of trees
generated. This paper tackles this problem by extending
these traditional operators to incorporate position
independence in the initialisation process in GE. This
new approach to initialisation is shown to provide a
viable alternative to the commonly used approaches,
whilst avoiding the common pitfalls of traditional
approaches to initialisation.",
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notes = "WCCI2016",
- }
Genetic Programming entries for
David Fagan
Michael Fenton
Michael O'Neill
Citations